* installing to library ‘/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages’
* installing *source* package ‘blavaan’ ...
** this is package ‘blavaan’ version ‘0.6-1’
** package ‘blavaan’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
specified C++17
using C++ compiler: ‘g++-16 (Debian 16.2.0-4) 16.2.0’
using C++17
make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpSYywbW/R.INSTALL2a5ae343952592/blavaan/src'


g++-16 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I"../inst/include" -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppParallel/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -DRCPP_PARALLEL_USE_TBB=1 -DTBB_INTERFACE_NEW -I/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppParallel/include -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -DTBB_INTERFACE_NEW   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c RcppExports.cpp -o RcppExports.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~


g++-16 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I"../inst/include" -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppParallel/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -DRCPP_PARALLEL_USE_TBB=1 -DTBB_INTERFACE_NEW -I/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppParallel/include -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -DTBB_INTERFACE_NEW   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c stanExports_stanmarg.cc -o stanExports_stanmarg.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/exp_sinh.hpp:19,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/integrate_1d.hpp:8,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:27,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor.hpp:14,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim.hpp:17,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/dump.hpp:7,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:43,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_stanmarg.h:23,
                 from stanExports_stanmarg.cc:5:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
  498 |       { 2.239451308457907276646263599248028318747e-2543Q, 4.087883914826209167187520163938786544603e-936Q, 7.764136408896555253208502557716060646316e-345Q, 2.569416154701911093162209102345213640613e-127Q, 2.705458070464053854934121429341356913371e-47Q, 7.491188348021113917760090371440516887521e-18Q, 5.198294603582515693057809058359470253018e-07Q, 0.005389922804577577496651910020276229582764Q, 0.1920600417448513371971708155403009636026Q, 1.140219687292143805081229623729334820659Q, 7.806184141505854070922571674663437423603Q, 497.9910059199034049204308876883447088185Q, 27016042.73379639480428530637021605662451Q, 172966369043668599418.5877957471751383371Q, 1.061675373362961296862509492541522509127e+55Q, 3.811736521949348274993846910907815663725e+149Q, 4.031589783270233530756613072386084762687e+406Q, 1.857591496578858801010210685679553673527e+1105Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
  499 |       { 6.38192460297577997296130116084380488004e-1543Q, 4.553284218142424152191512347101108073691e-568Q, 1.937062162895195937060002998269756423851e-209Q, 1.660126625033739077374114876720390220712e-77Q, 5.725718222547734673080418904622339594753e-29Q, 4.168381624810496871907721134250128161942e-11Q, 0.0001613301975005046953323705477328478299103Q, 0.0474713399587676291203429066086137662056Q, 0.5099627601758401314316521881645115690603Q, 2.636240582466121690921186199130019570689Q, 39.05613529229837860979125052359555007623Q, 30990.22477506600812220045610450185310364Q, 1857609984963.014390268032888333743476748Q, 2359106700485891760372588191034580.237445Q, 5.305502438164240038024865289303441329929e+90Q, 4.153264547632969989660655052675878016131e+246Q, 2.39549808558050342461418974153843135261e+670Q, 1.907821628968714220362207148967088886146e+1822Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
  500 |       { 6.057903324174675880054786918700573277193e-1981Q, 8.656190904067090962653034260124195755274e-1202Q, 3.301911576596318022491539142850442018161e-729Q, 1.425485029898429297758878823810205941516e-442Q, 1.016496544573331920304016689793414356743e-268Q, 2.848036810989534605128535426330975462895e-163Q, 2.581928872313165828368701686010678577144e-99Q, 1.601590227152633400640250804848713890905e-60Q, 5.423190544363659530944338243992687682219e-37Q, 1.016381761828840448285257216929561921503e-22Q, 4.635725075794601084424604353869125707077e-14Q, 8.3498615886950739967156481568160331201e-09Q, 1.303868885475613415062833232828648525669e-05Q, 0.001153300807253218344728159062725073079949Q, 0.01814288911244882236930497812936819917973Q, 0.1025656071886267491128524112054469619388Q, 0.3242301173345578897587341005053281543043Q, 0.7688636442387784234265303257286061242944Q, 1.704936145319479582718350104944998619577Q, 4.332223509891009397137256165478273534279Q, 16.00424777396788542203662195209964219854Q, 119.9894477197320344196270723637925628186Q, 3053.206094606356294417950881488718170062Q, 602365.2553559583292243897621777047334194Q, 3550455773.201059364690484967711333425091Q, 5733723619916794.008354021149856937812556Q, 97490164875869638451560588.97182161070984Q, 7.132097466952214251618865223622602893458e+42Q, 4.527309308592487932893086561010303870042e+70Q, 3.115319987396348432317683626917454615693e+116Q, 1.165082263946878699920850154957972424971e+192Q, 4.61868993445541953416660351754288757642e+316Q, 1.235693446874006572643670815583618997533e+522Q, 6.085142451732094001360716852852249745666e+860Q, 1.561268268167538223129534325473369675815e+1419Q, 7.15416720524977809484490807341332912337e+2339Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
  501 |       { 1.316397640984446973307154953464589633275e-2244Q, 2.91103714441677346374884778987181929964e-1748Q, 1.041515112823364264288004198932170597134e-1361Q, 1.163952866111770553035180609992941917098e-1060Q, 3.331010008037941781256743115855292034324e-826Q, 1.311012824977050544924978303237678019851e-643Q, 2.102714428828884821953890862683078649826e-501Q, 1.181154283940326231672292577754503055478e-390Q, 2.109394497146605580650701202262455040085e-304Q, 3.142026651033038465813811858591067955951e-237Q, 6.481721750272378322539690406725748230209e-185Q, 3.583598691717140876356841025821167196821e-144Q, 1.92664353411734602269656833786034601971e-112Q, 9.922976982058019429687317584840590274898e-88Q, 1.74739966510164583390419990770953521763e-68Q, 1.70290143918426077776224230568679054616e-53Q, 8.030136878691961276301034231071221582072e-42Q, 9.917365028053524354476145352392235487451e-33Q, 1.195101660603996715429218637550950454647e-25Q, 3.914005753291886226833591030642884022779e-20Q, 7.736530260670029404731999770065344717989e-16Q, 1.718208187412490487060798651160186368903e-12Q, 6.957606467986766668781610852908826758303e-10Q, 7.490494532575157167666978009034915042833e-08Q, 2.876694179706214244895454007509365858007e-06Q, 4.95621623915248246930633393189624651192e-05Q, 0.0004580885614011081480136084266758386238991Q, 0.002611973650987327972015238352563580017097Q, 0.01024958074171405301707965287545674192198Q, 0.03016224300141855969532721437631887510999Q, 0.07123470770339354612512733126593011802245Q, 0.1425077997714610113981393440866519718873Q, 0.2522461348260661654197754128666648295859Q, 0.4094768120120717375909393632502588445701Q, 0.6284517616579117758312487536756803604881Q, 0.9367868281384272374009925574604673700344Q, 1.390682216155298525280673341216151282237Q, 2.107722788359705067834932911785748508994Q, 3.347673174455422472577549274497972709551Q, 5.736410541438001909256000925370163885819Q, 10.96982957507422942804757729955529934671Q, 24.38435887010115093181364909323819215825Q, 66.24753699117985966148476651092908482621Q, 234.2315029073004369735419071058951676162Q, 1166.800705234530212373324266823192926477Q, 9058.072807556345123303399558638850050032Q, 124646.6048080201712485538680062639558529Q, 3584819.86746951378682172637961966062923Q, 266100993.7796082691768128807430671558536Q, 66825052601.51570420440082629824643725379Q, 80338167537283.97995953411028754151943899Q, 721934731984192713.8330181471216700501392Q, 85912332322414837303920.66199595232277841Q, 282145179878388664670389842403.4386259681Q, 65637349877520123390370406122266056686.38Q, 3.628585210946194380811829731899355186227e+48Q, 2.255004287064249520310520131039130736102e+62Q, 1.15869387156744556281317453901581151608e+80Q, 6.381237955604791946525597400340497294869e+102Q, 1.010840568769200528470714372039635841864e+132Q, 3.146392870507528140666504475776071670543e+169Q, 4.36361765578710599110918832751720492273e+217Q, 2.853414836089672424680428668400813268807e+279Q, 6.729793209488189821208480033926845423686e+358Q, 5.551856590995612599330193819104783525931e+460Q, 4.052255999971348848790422668447727946207e+591Q, 4.359321017798455720139540978196326313327e+759Q, 2.491143253847753891477290704847758735118e+975Q, 2.715360792058091922045750051250504657e+1252Q, 1.435205921116767351962933143664802808424e+1608Q, 8.210855869756939741458957539090139842153e+2064Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
  502 |       { 2.5206619423030582050540170122224114428e-2389Q, 1.172863116157072894734245940044946298728e-2108Q, 5.723395259249713010169313313952092349583e-1861Q, 2.197389499531280825740095933047095895838e-1642Q, 1.745161518126606205352284095182052308004e-1449Q, 2.988322581168499697535468502285209728217e-1279Q, 5.082152338298280900263082030896703594299e-1129Q, 1.923568771941791888696041505006148197297e-996Q, 1.922376701708619531115877054556550086857e-879Q, 3.43354234203261313677968607194090162681e-776Q, 4.520976144958693723499608471428644204377e-685Q, 1.16924290517103592239484417171431040132e-604Q, 1.076080723321413327903675953550818303011e-533Q, 4.542643147897936251189382845876349248208e-471Q, 8.39641135188984130629872933142091374729e-416Q, 4.975865312177024229863027999897167556333e-367Q, 5.478993165227465768218836546574553849014e-324Q, 5.284390536217028049162677728277890870188e-286Q, 1.753997013998162369603538709409426038521e-252Q, 6.702720150152123722417807613786063904275e-223Q, 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1.223690427483633883424913552261079866419e+337Q, 9.342435130798085441244782123257085986706e+381Q, 6.75013277944506940788764281864974376778e+432Q, 2.883587060602951466391472557821367572471e+490Q, 5.807295241013203323828534467621397444726e+555Q, 5.796152105409012013566864143195753032862e+629Q, 4.122626017834653186081615813053037582347e+713Q, 4.285202011931086479539142857463076440052e+808Q, 1.99573761404250032069947440682788052405e+916Q, 2.014079397178923658633495910333688587014e+1038Q, 3.570148522918403340320830841666908310066e+1176Q, 1.617637477295168349967593280814302779633e+1333Q, 5.291797544280981679311029646634340608003e+1510Q, 7.48399182023635266336559154483155451479e+1711Q, 6.420118348194716283591292220766712713315e+1939Q, 1.230075220167288536615919838362095973387e+2198Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
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      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
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      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
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1.158169679831249142228245049215974628172e+2433Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
  508 |       { 1.311124362501499644235686793936615689367e-2539Q, 8.804534216807813314757104329326588296303e-933Q, 6.151866113634416819256167600386076492591e-342Q, 7.489561872273541742689179537030908098807e-125Q, 2.901271904710770582279868424530636078955e-45Q, 2.956328411110696011133881227129821807172e-16Q, 7.566001300199861545999807860317199813659e-06Q, 0.02939829736944376661348111575241831549228Q, 0.4375314491139458627156716229106118956143Q, 1.797291527801965779398851915787147159794Q, 20.19084569885298758559779466541998891553Q, 3190.204004406569421821255762141757969656Q, 464240600.3151569718431815049204268434463Q, 8064746494304895107671.373051861760453278Q, 1.345267603784213433366506701434024787812e+57Q, 1.312864386644320246962258704304378039761e+152Q, 3.774555882479308671780101506364300541449e+409Q, 4.727526321376723657695030280786783264447e+1108Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
  509 |       { 2.266244194795986437688029480753454536709e-1539Q, 5.948198448973651573057290957613527891511e-565Q, 9.309165866973257982306900988767978877e-207Q, 2.935089536156722196786549328771374738603e-75Q, 3.724520625101352679705795925568729252173e-27Q, 9.984303520500369046645618946072879096604e-10Q, 0.001431356453978288648029393232888019996234Q, 0.1627612496098382979023134567209341094245Q, 0.8715578869575546863808265846496354994425Q, 4.866023145010624995980060168572588092579Q, 155.7337423425961768825532940518427467513Q, 324159.1075527578458688529527151875836096Q, 52559121164917.31725683197728293103939879Q, 181320101439002742278180646071519946.3143Q, 1.108358234190440710092732108743944497577e+93Q, 2.358481112878241907590525258624871004068e+249Q, 3.697706182598331996489023917650042511899e+673Q, 8.005136174837239155367039692394787566174e+1825Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
  510 |       { 2.762173700981399765618908933145320277069e-1977Q, 2.39391240206587981734693603632697690162e-1198Q, 5.538595991089672359026435602811151013816e-726Q, 1.450273233250857905077679568886962533672e-439Q, 6.272581042589046274956826312460762996165e-266Q, 1.06595762540573348910987779005613885572e-160Q, 5.861309595694473480177550103363514588648e-97Q, 2.205278730651401402935850497892571252242e-58Q, 4.529434469306552018275201007754555774945e-35Q, 5.149496065541224290846694532009922569098e-21Q, 1.42514032948545940458919452929629803818e-12Q, 1.558687650051216471666230916065939291762e-07Q, 0.0001480770730060221114876366833392461280225Q, 0.00800978386203168352857804963031419632516Q, 0.0781267934470234464218464002858630624883Q, 0.2837432722671675969293700817591698892949Q, 0.6266921805102975877365600915734732725014Q, 1.224519291305484855806028685503263380562Q, 2.828371835589717993286260875443918026645Q, 9.308530387014651096841645763883748667386Q, 51.00340931322451024765452196424930212962Q, 604.5686663559257609710666271339665397866Q, 24963.7894862358300483813083168580513256Q, 8072295.599338304211683309182738003369921Q, 78274670038.30925761297829268300403781939Q, 208243829479833121.9614650100740045614524Q, 5835995851993422640885142487.353759023593Q, 7.038358981684021693676871973997393903892e+44Q, 7.365871905585280499359762130717295092668e+72Q, 8.356559316758425271433369887928065115855e+118Q, 5.152598671967255958872374447108140847196e+194Q, 3.367711726599649783722226912309479425978e+319Q, 1.485503800735698079387410309977283298303e+525Q, 1.206093277935111329439185628983764517497e+864Q, 5.101934496467121392771497579825667303128e+1422Q, 3.854461007601356020735662570367145309928e+2343Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
  511 |       { 6.801466297807648263832928079249921030841e-2241Q, 1.171357838472361572678710519863396121111e-1744Q, 3.263877177177999549213672495546362918233e-1358Q, 2.840730424450322878168790929290006130205e-1057Q, 6.331359514114723653384308531115955576826e-823Q, 1.940682122137038336501816556640832563117e-640Q, 2.424120579853831996718550176595436495523e-498Q, 1.060491186278820392276664616813055045647e-387Q, 1.47497560627560557171208231533307889666e-301Q, 1.711053655951593201729320308363487612571e-234Q, 2.748977044034961560163018702370375057024e-182Q, 1.183661289657511405743956059634031695806e-141Q, 4.956069833269360409024211595600427510944e-110Q, 1.987957235263791766538675534206288734102e-85Q, 2.726390196575204566967127968691492639624e-66Q, 2.069277780420174850386325233097351936186e-51Q, 7.599593796102130947873535802397682362576e-40Q, 7.30986765636526911109545189857700652429e-31Q, 6.860826488850009000152917649714036190099e-24Q, 1.750137476813662935088831237226143585691e-18Q, 2.694698939685357192909812465408615672038e-14Q, 4.662399523365191039306448758212945866003e-11Q, 1.471147096470191077279866117408849945112e-08Q, 1.234588382988672174156726122838549322181e-06Q, 3.698047527501062909973755871812833332555e-05Q, 0.0004974045204857426689718493339751312553248Q, 0.003594744266562108630858602906463214186729Q, 0.01606776382707240397141574634561698324885Q, 0.04963226590082011795403845149528264747534Q, 0.115744254393794946820912074463938084869Q, 0.2189395796674687235327095676147418958643Q, 0.3566541233572264162152813601314252592465Q, 0.526976767182178399604596779203609072881Q, 0.7398541068159815990923143586965891134531Q, 1.029425785377785516113796863012575526595Q, 1.472772244004991739780066538168681045534Q, 2.232105810859563539773192829947722929989Q, 3.664852093836574055260421484415211997792Q, 6.634229039042487667472625010842259069012Q, 13.47608350422833149354320757617644730575Q, 31.42073749047538137686874567762943831435Q, 86.79141791656354041821488779088943576306Q, 296.6528186585230549314029606641812360007Q, 1329.946577806955206827993564277915367892Q, 8441.344633114675813741927901407789834969Q, 83749.32841027025051399559911280792540265Q, 1475556.123428945995692670896358851704835Q, 54395134.46210963278883974741024860672763Q, 5179091016.902155867702113242034208944851Q, 1668941700142.962732014338449363262585953Q, 2575302232826040.930983214056263444447065Q, 29708121106264252782.32997718334559128081Q, 4538831967003783409536690.268981265379605Q, 19138023153446381738359211515557.27962435Q, 5716447050875173187782003939002192529233.0Q, 4.057627687752827735975516066653569584098e+50Q, 3.237780711010981929311620914986172494341e+64Q, 2.136177206956376829298160177481616436455e+82Q, 1.510581027396811547515066542591252259814e+105Q, 3.072511300612383685659247652666898751003e+134Q, 1.227994026803117836885996853139658018152e+172Q, 2.186769076188247553183183888358166072813e+220Q, 1.836091623107666564777188149335650549888e+282Q, 5.560380603618894755889563902333421267615e+361Q, 5.88998929678686832672515862440158058623e+463Q, 5.520096462216289192193975675075507876736e+594Q, 7.625041435865992600228986717464906255015e+762Q, 5.594942726633317888883469851113674080397e+978Q, 7.83065490388354698017246745548709611393e+1255Q, 5.31445051505238075828831366993821695924e+1611Q, 3.903967482555967268768154031672119092969e+2068Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
  512 |       { 1.386351840518308620839358763554215551931e-2385Q, 5.692714192122587749075617787151443181487e-2105Q, 2.451539999979072363325054695825688359483e-1857Q, 8.306259271201342345210834094714244365054e-1639Q, 5.821665674291993981062416504099267133283e-1446Q, 8.797358828459107177088680667625679647909e-1276Q, 1.320339777528218308293628576902954472032e-1125Q, 4.410206727121778476048579405149038344619e-993Q, 3.88958196740022428105997715246477744601e-876Q, 6.130840948743111294681197948959379863932e-773Q, 7.123986226444013036571903990814705244112e-682Q, 1.625956113900887259810636803089770478958e-601Q, 1.320572219097695369155247708778376474798e-530Q, 4.919706191404226525652134855992684547645e-468Q, 8.024860788515940296029723266854707311236e-413Q, 4.196871666597654619740159911562644470158e-364Q, 4.078224492411775554465972303455630373728e-321Q, 3.471191735147190701990574841139180851673e-283Q, 1.016777466021579755362597082466363719898e-249Q, 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2.062587137093633738153639964961537739828e+300Q, 9.497974733972601205199439097559404355421e+339Q, 8.216866861631646227849070101465292350345e+384Q, 6.727368363173988690006109427672655451647e+435Q, 3.256512214038182544092657678379570013082e+493Q, 7.431565554497628535696075925669517436095e+558Q, 8.404907826884863403395059072909982751661e+632Q, 6.774135867874352304403519336536368216792e+716Q, 7.978808683551832748089548367396910285319e+811Q, 4.210726051563171486361372753281330825868e+919Q, 4.815228807107039224016318021511536231054e+1041Q, 9.671936246443378281031357192551408517124e+1179Q, 4.965867685385961630088948794046462865437e+1336Q, 1.840788819983942185751345185174055491455e+1514Q, 2.949992127934753413488342242442835124216e+1715Q, 2.867592218659729126785338974659499305745e+1943Q, 6.225766615806442563214766060198378536369e+2201Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
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      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
  514 |       { 3.396187965591260438897244230849252949133e-2500Q, 3.41747159490076194366166435197892344024e-2423Q, 1.468507678341085936510631686027018193702e-2348Q, 3.187196102551453055654175541511540035227e-2276Q, 4.111144618799882938247446443042495922138e-2206Q, 3.689982379249148439178153280533053022001e-2138Q, 2.685174204657092092067226298561204870573e-2072Q, 1.837147705508098860673717768368232067662e-2008Q, 1.364257907967552000423094508893268899947e-1946Q, 1.263771364208497251750238943339938928533e-1886Q, 1.671242563857819954841665799077012782254e-1828Q, 3.59572473348901442338115273389639464694e-1772Q, 1.428695046663295321301312704790120159931e-1717Q, 1.185320708968814213894285445648910693797e-1664Q, 2.312978025972053806095540476447810494724e-1613Q, 1.191384629114553103202392185340997162652e-1563Q, 1.811512325837822942229802348315430051691e-1515Q, 9.061690335018066855688935640999855840642e-1469Q, 1.656446393553325828143168688464980737559e-1423Q, 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      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
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      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:522:4: warning: non-standard suffix on floating constant [-Wpedantic]
  522 |    m_t_min = -8.916559006047578828258918121202852111589Q;
      |    ^~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/sinh_sinh.hpp:22,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/integrate_1d.hpp:9:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic]
  454 |       { 3.08828741797632286606397498241221385e+00Q, 1.48993184649209158013612709175719825e+02Q, 3.41228924788343710247727162226946917e+06Q, 2.06932576604261779073902718911207249e+18Q, 2.08700240760947556038306635808129743e+50Q, 2.01976616071790815078008252209994199e+137Q, 5.67213444764437168603513205349222232e+373Q, 3.06198394306784061113736467298565948e+1016Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic]
  455 |       { 9.13048762637669674838078869945948356e-01Q, 1.41578929466281159169215570833490092e+01Q, 6.70421551622327648231120321610008518e+03Q, 9.64172532715049941526010563818587232e+10Q, 2.50895076008577848514087028569888161e+30Q, 1.44726353571033714499079379626715686e+83Q, 3.75263401205045334128277886549019357e+226Q, 2.57846123932685341261715758547064293e+616Q, 1.25169402230987931584130068460134989e+1676Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
  456 |       { 4.07297690065758690150573950473604675e-01Q, 1.68206670702114874332932330092838356e+00Q, 6.15089798638672951539668935798437533e+00Q, 4.00396235192940022205839866641270319e+01Q, 7.92920024793102632052902471550336177e+02Q, 1.02984971333097958319686053784919407e+05Q, 3.03862310925243857437932941891415841e+08Q, 1.56544547436249486913719231527597560e+14Q, 4.04246509843021910355659662715183671e+23Q, 1.32170682742965817915034577861235933e+39Q, 4.99123178209955799774620736137366103e+64Q, 7.35294385035987596594501676609562008e+106Q, 2.45145417229813114714431821340237112e+176Q, 1.03030479197459267961759023741376327e+291Q, 9.88478945193556730604342445576518136e+479Q, 3.74498116076433060427765453233124618e+791Q, 1.90292390713026708045766158039087796e+1305Q, 1.72712488231809244721915842027236657e+2152Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
  457 |       { 1.98135272251478172615235718398538323e-01Q, 6.40155673500526017670785720911319502e-01Q, 1.24892869825397766254802900819319987e+00Q, 2.26608084094432123181038001270985037e+00Q, 4.29646269670232738148137717958679987e+00Q, 9.13029038709995569641811827045549232e+00Q, 2.31110765386427993316995139635470937e+01Q, 7.42770603432401243012214481410240677e+01Q, 3.26720920711525891697790966796945063e+02Q, 2.15948569431181871552028449867301828e+03Q, 2.41501526289641306037808670196966696e+04Q, 5.31819400275692915826269282626844010e+05Q, 2.80058685721704332307817790755562305e+07Q, 4.52406507979433877971977526863358905e+09Q, 3.08561257398067712180174566763237112e+12Q, 1.33882673301580747789133427708622972e+16Q, 6.25461717656234138147247754416652254e+20Q, 6.18209853581416475394863999233554548e+26Q, 3.07729364978845806686511011060697837e+34Q, 2.34895728937010430290698332595743680e+44Q, 1.14854319789946975790127332653552673e+57Q, 2.25530007001006986846545694404767295e+73Q, 1.87791950056919539419801461538703336e+94Q, 1.36747388793862427976781689638282239e+121Q, 4.24212177246407592514720294750151286e+155Q, 8.23473099012134325391170623028607158e+199Q, 6.06134211888406631001019923425936351e+256Q, 6.32519197436029413652766295658658263e+329Q, 3.61942292928205643948383705201563065e+423Q, 8.82464433126646489632943769283758364e+543Q, 3.35512488018651738642854323317447493e+698Q, 1.02411434678684822400261582079656500e+897Q, 7.40716670979374017620610271197945784e+1151Q, 1.30455147283895162835186634827124464e+1479Q, 2.02948723345659016173510134582487641e+1899Q, 6.99019443250345564805134094483457477e+2438Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
  458 |       { 9.83967894006732033862249554537934739e-02Q, 3.00605617659955035122465185012715805e-01Q, 5.19857978994938490000644785900799951e-01Q, 7.70362083298887700858583505753306721e-01Q, 1.07131136964131183026831222500748063e+00Q, 1.45056975808899844502126797109703210e+00Q, 1.95077854952036033400296546339240312e+00Q, 2.64003177369555146770080103921424631e+00Q, 3.63137237366741227331951933364601985e+00Q, 5.11991533090335057003526222543242753e+00Q, 7.45666098140488328926087222725984231e+00Q, 1.13022612688997262443461342203136009e+01Q, 1.79641069247277254966592982669611020e+01Q, 3.01781070460189822236726995418068214e+01Q, 5.40387580031237056709826662540066860e+01Q, 1.04107731447746954767459980678311109e+02Q, 2.18029520120262807725988909352359830e+02Q, 5.02155698625910164594509258651311707e+02Q, 1.28862131099822242045586488612672886e+03Q, 3.73921687080054832376623401153054636e+03Q, 1.24750729702019123239464970064060864e+04Q, 4.87639975322669212414357357061002683e+04Q, 2.28145658221913012154676335814417144e+05Q, 1.30877796006484301664040981436471740e+06Q, 9.46084663420966407698078336053299177e+06Q, 8.88883120363727962245667776649286152e+07Q, 1.12416882897434413447175648471746990e+09Q, 1.99127672953214446985509145592687205e+10Q, 5.16743469106098464964433058111638245e+11Q, 2.06721881420399088776240044545119948e+13Q, 1.35061503318410040604770421574064883e+15Q, 1.53854066283650818848773859278941683e+17Q, 3.29074729054035066052820102585085173e+19Q, 1.43729138188449881561963100200796631e+22Q, 1.40983244553034728562740932242727657e+25Q, 3.45913548027797144127990544649862792e+28Q, 2.39872058234095409213724024023509754e+32Q, 5.39880660461729295997086364918754801e+36Q, 4.61334000258062860955942270137550165e+41Q, 1.78768590966790245678294238939560892e+47Q, 3.84198437012433853552557148945213178e+53Q, 5.75279795570858370009870455748773410e+60Q, 7.77181203842728655149182334288749850e+68Q, 1.26967304420408162635234502672130357e+78Q, 3.49567677376573156773252547632961336e+88Q, 2.36251947497169244454694635287097330e+100Q, 6.00214389327365112307366927985587840e+113Q, 9.29071630346415553922675334522602561e+128Q, 1.51444223803384709004933819608345315e+146Q, 4.83290204410990250226310317342789471e+165Q, 6.09623012864338569215560315517200736e+187Q, 6.73889214277659359787962707085479315e+212Q, 1.60917893672694484647176104023542732e+241Q, 2.30724123468764987944582372785293125e+273Q, 6.32636439816284705814531208407868829e+309Q, 1.23274815890184688792156489065830724e+351Q, 7.55519778823055185901318833981345378e+397Q, 7.85730655106759111844772008129590573e+450Q, 9.36328400229780321059086898529742817e+510Q, 1.11332545426270395766246494603539938e+579Q, 1.53432069979625061288117473415446630e+656Q, 3.94622553764411915381186808199466267e+743Q, 4.41554290953392996069257034424439949e+842Q, 7.62037777854651720247173134262034607e+954Q, 1.15650294539918196985498353779647134e+1082Q, 1.50761161209705395018419027031866347e+1226Q, 3.03485088181756935935831645680716816e+1389Q, 3.38561189018537177501905611143498298e+1574Q, 1.64407968993192526511230001818530622e+1784Q, 6.63148743223242467667800355907041029e+2021Q, 1.15911606715877477373516464924821476e+2291Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
  459 |       { 4.91151003502902493004859475143401791e-02Q, 1.48013149674360733270682895306542340e-01Q, 2.48938813740683685679302156785267041e-01Q, 3.53325423692668437764413545980527251e-01Q, 4.62733556612235325924240102411897269e-01Q, 5.78912068164096306746325958452873475e-01Q, 7.03870253386062779930091622585657886e-01Q, 8.39965859144650568772715366992985538e-01Q, 9.90015066424437614655918533324528544e-01Q, 1.15743257014369913143250540144278056e+00Q, 1.34641275918536176274682426896283388e+00Q, 1.56216711390133555099139972670978661e+00Q, 1.81123885278232337973709010374295886e+00Q, 2.10192441900655030086142289233010995e+00Q, 2.44484388558419793403331221069953203e+00Q, 2.85372074663291502355627105440782037e+00Q, 3.34645891095535078662878051589922609e+00Q, 3.94664582105783838715586741669722603e+00Q, 4.68567310159667852940801410152900804e+00Q, 5.60576223090815117543658276010994803e+00Q, 6.76433233683057420359243855855175747e+00Q, 8.24038317537998522052755780107530197e+00Q, 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5.28444381883484729377275155781628201e+1346Q, 3.96822241951490935324304074734991606e+1433Q, 1.19450143809568524145027520220707370e+1526Q, 3.31232848440880307300003548888720354e+1624Q, 2.05165402811808892980123939590704909e+1729Q, 7.28745294435475474950235921073537827e+1840Q, 4.04980582052614743975213722266303496e+1959Q, 1.02489069982330185861864247663932840e+2086Q, 3.68323339665104313610706754895420191e+2220Q, 6.30765607309438726154024457882187086e+2363Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
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      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
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      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic]
  464 |       { 7.86824160483962150718731247753528972e+00Q, 8.80516388073301111614873617217928009e+02Q, 5.39627832352070566780640331455747505e+07Q, 8.87651189696816131653619534136597185e+19Q, 2.43279187926922555339407396412240848e+52Q, 6.39971351208020291074628474066382445e+139Q, 4.88537754925138382971529406336289926e+376Q, 7.16883681174178397147232888689884595e+1019Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic]
  465 |       { 2.39852427630263521821751964327863340e+00Q, 5.24459642372668102196104972893810164e+01Q, 6.45788781959820175983419155536535220e+04Q, 2.50998524251137450575088710958358197e+12Q, 1.77402926932713870128394504873348147e+32Q, 2.78140611598309731397930137939524577e+85Q, 1.96038425539892219077400134901764646e+229Q, 3.66150166331050442649946863740591804e+619Q, 4.83160223742266359875093017291942249e+1679Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
  466 |       { 1.74936958310838685164948357553735581e+00Q, 3.97965898193460781260142246747934196e+00Q, 1.84851459857444957000370375296526856e+01Q, 1.86488071893206798762140574520079510e+02Q, 5.97420569526326585534733485801413054e+03Q, 1.27041263514462334076609190768051333e+06Q, 6.16419301429598407050713079962266577e+09Q, 5.23085003181122252980303620742723664e+15Q, 2.22626092994336977442577822584431966e+25Q, 1.19993110204218159156995352671876189e+41Q, 7.47060214427514621386633671542416223e+66Q, 1.81446586052841067579857900138568293e+109Q, 9.97368828205170536427067380214302839e+178Q, 6.91104863699861841609881512683369620e+293Q, 1.09318211394169115127064538702854062e+483Q, 6.82844528756738528157668552351754659e+794Q, 5.72058982179767644458682394627277737e+1308Q, 8.56032690374774097638382410967859196e+2155Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
  467 |       { 1.61385906218836617287347897159238284e+00Q, 1.99776729186967326240633804225996920e+00Q, 3.02023197990883422014272607858586524e+00Q, 5.47764184385905776136260784219973923e+00Q, 1.17966091649267167180700675171097629e+01Q, 3.03550484851859829445106624470076282e+01Q, 9.58442179379492086007230677188042206e+01Q, 3.89387023822999207648300659707623000e+02Q, 2.17919325035791134362027855479039721e+03Q, 1.83920812396413285238691815996130729e+04Q, 2.63212061259985616674528417452471371e+05Q, 7.42729650716946820985576548297567563e+06Q, 5.01587564834123235599460194208596041e+08Q, 1.03961086724154411336246801784030341e+11Q, 9.10032891181809197707572646881781254e+13Q, 5.06865116389023157141527800972456655e+17Q, 3.03996652071490261550678134010186516e+22Q, 3.85774019467200796234141077624516370e+28Q, 2.46554276366658108662483315347592086e+36Q, 2.41643944916779946083480638296809418e+46Q, 1.51709155392660414912154078562432491e+59Q, 3.82504341202141137966304147261186085e+75Q, 4.08958239682159863968142401533332977e+96Q, 3.82377589429556404969214069508991010e+123Q, 1.52310131188389950567280579870007714e+158Q, 3.79636429591225792206340580596443044e+202Q, 3.58806569407775804668752012761380285e+259Q, 4.80771394235873283225580334249205764e+332Q, 3.53246347094395956018650264083397114e+426Q, 1.10588270611697913736223556513462127e+547Q, 5.39876096236024571737551333865366627e+701Q, 2.11595993056851385189640470523173475e+900Q, 1.96510021934867185245970661270267904e+1155Q, 4.44393205109502635384704176698510343e+1482Q, 8.87699807096655545789464168899561262e+1902Q, 3.92593109193326452307669545677335709e+2442Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
  468 |       { 1.58146595953669474418006927755018553e+00Q, 1.66914991043853474595928766810899114e+00Q, 1.85752318859500577038805456054280667e+00Q, 2.17566262362699411973750280579195666e+00Q, 2.67590137521102056412774254907718688e+00Q, 3.44773868249879174414308452011308777e+00Q, 4.64394654035546412593428923628065357e+00Q, 6.53020449657424861626175040050215115e+00Q, 9.58228501556680496101434956408351228e+00Q, 1.46836140751544096048943311347045852e+01Q, 2.35444954874098753301967806270994218e+01Q, 3.96352727330516670475446596081886449e+01Q, 7.03763520626753854729866526912608057e+01Q, 1.32588012478483886772029444321222706e+02Q, 2.66962564954156917240259777486475719e+02Q, 5.79374919850847267642551329761882844e+02Q, 1.36869192832130360517783396696756604e+03Q, 3.55943572153313055370459329132660088e+03Q, 1.03218667727076331844496375241465304e+04Q, 3.38662130285874148722242481662728477e+04Q, 1.27816625984024682983932609690817446e+05Q, 5.65408251392669309819682774275375355e+05Q, 2.99446204478172183285915112991350446e+06Q, 1.94497502342191494704216422938073734e+07Q, 1.59219300769056058775193216743984073e+08Q, 1.69428881861745991307405037132734657e+09Q, 2.42715618231130327064401251217732118e+10Q, 4.87031784819945548978505622564878836e+11Q, 1.43181965622918179279761684530563788e+13Q, 6.48947152309930125567236832263111486e+14Q, 4.80375775250898910621624420686976943e+16Q, 6.20009636130533154063228597685772759e+18Q, 1.50256856243991489872472363253210358e+21Q, 7.43606136718968825065770257988550430e+23Q, 8.26476121867792860277670169213789988e+26Q, 2.29773502789780434527854280137181506e+30Q, 1.80544977956953499695878114747293447e+34Q, 4.60447236019906193095622500171344417e+38Q, 4.45837121203062685356208723886733392e+43Q, 1.95763826111480930920135175891530462e+49Q, 4.76736813716250076391436967954985413e+55Q, 8.08882013947672128478290968549029064e+62Q, 1.23826089734928635728800137667726115e+71Q, 2.29227250527884206154485624438166937e+80Q, 7.15139237374919354944182099110281069e+90Q, 5.47671485015604443103262357109062276e+102Q, 1.57665561837070068115746726288773175e+116Q, 2.76544859595785195782707224216472471e+131Q, 5.10805125528313267335507302418826239e+148Q, 1.84712724771593770593326127127227089e+168Q, 2.64019849791365137425805671512502957e+190Q, 3.30712207665004277982044248938187504e+215Q, 8.94854908018147130170828014681013313e+243Q, 1.45387781135416845215757148230318159e+276Q, 4.51726707740089625471551690811905600e+312Q, 9.97430447590682462482304866834403173e+353Q, 6.92693028486990716815899177110112886e+400Q, 8.16310561774970561761094556639568748e+453Q, 1.10229203674018117764688357752075301e+514Q, 1.48517414340573263317638725427854581e+582Q, 2.31930659130340479680373862468017961e+659Q, 6.75943980795305614491339585238335763e+746Q, 8.57037256903489416057847741388693004e+845Q, 1.67601881139415883633596646631875881e+958Q, 2.88227840597067494281761984210848274e+1085Q, 4.25760590360997372209644858208981618e+1229Q, 9.71180927884114514977776411099980676e+1392Q, 1.22768447544318231419683656745290694e+1578Q, 6.75552744777466879522724469574589977e+1787Q, 3.08769330528996647489562213811332711e+2025Q, 6.11556995885701147380172201043083647e+2294Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
  469 |       { 1.57345777357310838646187303563867071e+00Q, 1.59489275503866378652125176234375753e+00Q, 1.63853651553023474161201404240726646e+00Q, 1.70598040821221362042267472116012952e+00Q, 1.79972439460873727464624167982278042e+00Q, 1.92332285442565630724716834865923523e+00Q, 2.08159737331326817824115844787944556e+00Q, 2.28093488379007051069614759371332643e+00Q, 2.52969785238770465522974588384012833e+00Q, 2.83878478255295118549225363326336900e+00Q, 3.22239574502098061154099310373833179e+00Q, 3.69908135885423511174795221061725889e+00Q, 4.29318827433052679979662014839909054e+00Q, 5.03686535632233007617225633242190622e+00Q, 5.97287114091093219903794699750262296e+00Q, 7.15853842431107756435392592099817447e+00Q, 8.67142780089207638456187671594514668e+00Q, 1.06174736029792232565670017416978690e+01Q, 1.31428500226023559963724543395522033e+01Q, 1.64514562566842803959315507240301356e+01Q, 2.08309944999818906870911848992408145e+01Q, 2.66923598979164019005652953856219015e+01Q, 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1.28019956321641911210408802307006043e+88Q, 4.87834928560320114983891893560226105e+93Q, 4.24082824806412793978885646592598549e+99Q, 8.86977176472159872046976711615695992e+105Q, 4.72334257574141766931261505651248075e+112Q, 6.80203596332618858057580041658814811e+119Q, 2.82453118099000954895979587744113614e+127Q, 3.62104921674598225195529453488856248e+135Q, 1.54127015033494251978994281882356439e+144Q, 2.35337699517436278507886852532825112e+153Q, 1.39975657916895026384257958622345253e+163Q, 3.54037503829826541837221286091526442e+173Q, 4.18047500721395810079642214620070836e+184Q, 2.54530778191403081572971577964641848e+196Q, 8.88250526322285889574436025179770286e+208Q, 1.98845751036127430533908054978079217e+222Q, 3.21915661509946819003841034873947498e+236Q, 4.28183215516658291456439674095688919e+251Q, 5.36006145974509206228714676601426569e+267Q, 7.29722806821457796264952588871034685e+284Q, 1.26019994797636341237075623262002305e+303Q, 3.25215241711283834871808603425369243e+322Q, 1.49313102632599158215031971670664716e+343Q, 1.46842377691796129245813472736592684e+365Q, 3.76931518236156669675469780787997744e+388Q, 3.11671991143285521404945273561352902e+413Q, 1.03852445906488241953781523768340610e+440Q, 1.76991068936691550622045923706396857e+468Q, 1.98843278522413458075823481121326426e+498Q, 1.92935688449069146367365017414279935e+530Q, 2.15545898606278242992831028009446695e+564Q, 3.76556572065746315676705102085514331e+600Q, 1.42493629186903074753303377268119903e+639Q, 1.65224172380259971159552714105694350e+680Q, 8.49215944410421946026158352935784666e+723Q, 2.86631893981320588349507785370693896e+770Q, 9.65377141044877270160840903468092119e+819Q, 5.06475979937176267805686278644876593e+872Q, 6.64979079902917739733555562625190968e+928Q, 3.61927525412094487856735509111512169e+988Q, 1.39737404381894022658529893979427383e+1052Q, 6.78018387620311055320186127570560827e+1119Q, 7.59952044103401209205510909410129754e+1191Q, 3.76162862667265940011010617225061429e+1268Q, 1.63904309514033654209643026524489542e+1350Q, 1.31017858257252889370615733020834140e+1437Q, 4.19821396072116298475329351264459339e+1529Q, 1.23923791809549425227491870065845752e+1628Q, 8.17087984671936465200033730232853592e+1732Q, 3.08946915513007963115203650683840400e+1844Q, 1.82761916569338643673217752139790470e+1963Q, 4.92348318803338950087945240543349430e+2089Q, 1.88350835331965060456271693216651123e+2224Q, 3.43360015586068277793841059306542129e+2367Q, },
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
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      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
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      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:478:4: warning: non-standard suffix on floating constant [-Wpedantic]
  478 |    m_t_max = 8.88600744303961370002819023592353264e+00Q;
      |    ^~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:32,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/rstaninc.hpp:3:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/shared_ptr.hpp:17,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/date_time/time_clock.hpp:17,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:15:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/detail/shared_count.hpp:294:33: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  294 |     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
      |                                 ^~~~~~~~
In file included from /usr/include/c++/16/memory:80,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:7:
/usr/include/c++/16/bits/unique_ptr.h:58:28: note: declared here
   58 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:354:31: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  354 |     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
      |                               ^~~~~~~~
/usr/include/c++/16/bits/unique_ptr.h:58:28: note: declared here
   58 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:365:22: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  365 |     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
      |                      ^~~~~~~~
/usr/include/c++/16/bits/unique_ptr.h:58:28: note: declared here
   58 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:423:34: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  423 |     shared_ptr & operator=( std::auto_ptr<Y> & r )
      |                                  ^~~~~~~~
/usr/include/c++/16/bits/unique_ptr.h:58:28: note: declared here
   58 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:430:34: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  430 |     shared_ptr & operator=( std::auto_ptr<Y> && r )
      |                                  ^~~~~~~~
/usr/include/c++/16/bits/unique_ptr.h:58:28: note: declared here
   58 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function ‘boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:432:38: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  432 |         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
      |                                      ^~~~~~~~
/usr/include/c++/16/bits/unique_ptr.h:58:28: note: declared here
   58 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:82:22:   required from here
   82 |     output_ << values.transpose().format(CommaInitFmt);
      |                      ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:82:22:   required from here
   82 |     output_ << values.transpose().format(CommaInitFmt);
      |                      ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:82:32:   required from here
   82 |     output_ << values.transpose().format(CommaInitFmt);
      |                ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:93:22:   required from here
   93 |     output_ << values.transpose().format(CommaInitFmt);
      |                      ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:93:32:   required from here
   93 |     output_ << values.transpose().format(CommaInitFmt);
      |                ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:105:22:   required from here
  105 |     output_ << values.format(CommaInitFmt);
      |                      ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:33:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29:   required from here
   47 |       || (cholesky.vectorD().array() <= 0.0).any()) {
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41:   required from here
   47 |       || (cholesky.vectorD().array() <= 0.0).any()) {
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45:   required from here
   47 |       || (cholesky.vectorD().array() <= 0.0).any()) {
      |                                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/generate_laplace_options.hpp:28:47:   required from here
   28 |   return std::make_tuple(Eigen::VectorXd::Zero(theta_0_size).eval(),
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >, int, int>(Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >, int, int)::<lambda(bool)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >, int, int>(Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >, int, int)::<lambda(bool)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >, int, int>(Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >, int, int)::<lambda(bool)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >, int, int>(Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >, int, int)::<lambda(bool)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >, int, int>(Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >, int, int)::<lambda(bool)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/select.hpp:146:17:   required from ‘auto stan::math::select(T_bool, T_true, T_false) [with T_bool = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >; T_true = int; T_false = int; stan::require_eigen_array_vt<std::is_integral, T_bool>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
  145 |   return c
      |          ~       
  146 |       .unaryExpr([y_true, y_false](bool cond) {
      |       ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  147 |         return cond ? ret_t(y_true) : ret_t(y_false);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  148 |       })
      |       ~~         
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_pFq.hpp:130:35:   required from here
  130 |     Eigen::ArrayXi a_sign = select(a_pos_k == 0, 1, -1);
      |                             ~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/select.hpp:149:12:   required from ‘auto stan::math::select(T_bool, T_true, T_false) [with T_bool = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >; T_true = int; T_false = int; stan::require_eigen_array_vt<std::is_integral, T_bool>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
  145 |   return c
      |          ~  
  146 |       .unaryExpr([y_true, y_false](bool cond) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  147 |         return cond ? ret_t(y_true) : ret_t(y_false);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  148 |       })
      |       ~~    
  149 |       .eval();
      |       ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_pFq.hpp:130:35:   required from here
  130 |     Eigen::ArrayXi a_sign = select(a_pos_k == 0, 1, -1);
      |                             ~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, Eigen::Array<int, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, Eigen::Array<int, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, Eigen::Array<int, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, Eigen::Array<int, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, Eigen::Array<int, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, Eigen::Array<int, -1, 1> > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, Eigen::Array<int, -1, 1> > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, Eigen::Array<int, -1, 1> > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, Eigen::Array<int, -1, 1> > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/select.hpp:171:56:   required from ‘auto stan::math::select(T_bool, T_true, T_false) [with T_bool = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; T_true = int; T_false = Eigen::Array<int, -1, 1>; stan::require_eigen_array_t<Mat>* <anonymous> = 0; stan::require_any_eigen_array_t<T_true, T_false>* <anonymous> = 0]’
  171 |   return c.select(y_true, y_false).template cast<ret_t>().eval();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_pFq.hpp:172:24:   required from here
  172 |         a_sign = select(k == a_pos_k - 1, 1, a_sign);
      |                  ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49:   required from here
   37 |   Eigen::VectorXd v = Eigen::VectorXd::LinSpaced(K, low, high);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39:   required from here
   32 |   return Eigen::RowVectorXd::LinSpaced(K, low, high);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72:   required from here
   58 |   return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
      |                                                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
   58 |   return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
      |                                                                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17:   required from here
   71 |     A.diagonal().array() -= mu;
      |                 ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29:   required from here
   71 |     A.diagonal().array() -= mu;
      |                             ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43:   required from here
   86 |         bi = (t / (s * (j + 1))) * (A * bi);
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43:   required from here
   86 |         bi = (t / (s * (j + 1))) * (A * bi);
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43:   required from here
   86 |         bi = (t / (s * (j + 1))) * (A * bi);
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22:   required from here
  106 |     return x.cwiseAbs().rowwise().sum().maxCoeff();
      |            ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38:   required from here
  106 |     return x.cwiseAbs().rowwise().sum().maxCoeff();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/ceil.hpp:63:64:   required from ‘stan::math::ceil<Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&)::<lambda(auto:263&&)> [with auto:263 = Eigen::Matrix<double, -1, -1>&]’
   63 |       std::forward<Container>(x), [](auto&& v) { return v.array().ceil(); });
      |                                                         ~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:44:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(T2&&, F&&) [with F = stan::math::ceil<Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&)::<lambda(auto:263&&)>; T2 = Eigen::Matrix<double, -1, -1>&; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<typename std::decay<T2>::type, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>&]’
   46 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/ceil.hpp:62:46:   required from ‘auto stan::math::ceil(Container&&) [with Container = Eigen::Matrix<double, -1, -1>&; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0; stan::require_not_var_matrix_t<Container>* <anonymous> = 0]’
   62 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   63 |       std::forward<Container>(x), [](auto&& v) { return v.array().ceil(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41:   required from here
  197 |     Eigen::MatrixXd c = stan::math::ceil(mt) * u.asDiagonal();
      |                         ~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/ceil.hpp:63:71:   required from ‘stan::math::ceil<Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&)::<lambda(auto:263&&)> [with auto:263 = Eigen::Matrix<double, -1, -1>&]’
   63 |       std::forward<Container>(x), [](auto&& v) { return v.array().ceil(); });
      |                                                         ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:44:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(T2&&, F&&) [with F = stan::math::ceil<Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&)::<lambda(auto:263&&)>; T2 = Eigen::Matrix<double, -1, -1>&; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<typename std::decay<T2>::type, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>&]’
   46 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/ceil.hpp:62:46:   required from ‘auto stan::math::ceil(Container&&) [with Container = Eigen::Matrix<double, -1, -1>&; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0; stan::require_not_var_matrix_t<Container>* <anonymous> = 0]’
   62 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   63 |       std::forward<Container>(x), [](auto&& v) { return v.array().ceil(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41:   required from here
  197 |     Eigen::MatrixXd c = stan::math::ceil(mt) * u.asDiagonal();
      |                         ~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:48:71:   required from ‘stan::math::apply_vector_unary<Eigen::Matrix<double, -1, -1>&, void>::apply<stan::math::ceil<Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&)::<lambda(auto:263&&)>, Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&, stan::math::ceil<Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&)::<lambda(auto:263&&)>&&)::<lambda(auto:16&&)> [with auto:16 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >]’
   48 |           [](auto&& xx) { return std::forward<decltype(xx)>(xx).matrix(); },
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::apply_vector_unary<Eigen::Matrix<double, -1, -1>&, void>::apply<stan::math::ceil<Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&)::<lambda(auto:263&&)>, Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&, stan::math::ceil<Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&)::<lambda(auto:263&&)>&&)::<lambda(auto:16&&)>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::apply_vector_unary<Eigen::Matrix<double, -1, -1>&, void>::apply<stan::math::ceil<Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&)::<lambda(auto:263&&)>, Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&, stan::math::ceil<Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&)::<lambda(auto:263&&)>&&)::<lambda(auto:16&&)>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::apply_vector_unary<Eigen::Matrix<double, -1, -1>&, void>::apply<stan::math::ceil<Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&)::<lambda(auto:263&&)>, Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&, stan::math::ceil<Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&)::<lambda(auto:263&&)>&&)::<lambda(auto:16&&)>; Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(T2&&, F&&) [with F = stan::math::ceil<Eigen::Matrix<double, -1, -1>&>(Eigen::Matrix<double, -1, -1>&)::<lambda(auto:263&&)>; T2 = Eigen::Matrix<double, -1, -1>&; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<typename std::decay<T2>::type, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>&]’
   47 |       return make_holder(
      |              ~~~~~~~~~~~^
   48 |           [](auto&& xx) { return std::forward<decltype(xx)>(xx).matrix(); },
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |           make_holder(std::forward<F>(f), std::forward<T2>(x)));
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/ceil.hpp:62:46:   required from ‘auto stan::math::ceil(Container&&) [with Container = Eigen::Matrix<double, -1, -1>&; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0; stan::require_not_var_matrix_t<Container>* <anonymous> = 0]’
   62 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   63 |       std::forward<Container>(x), [](auto&& v) { return v.array().ceil(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41:   required from here
  197 |     Eigen::MatrixXd c = stan::math::ceil(mt) * u.asDiagonal();
      |                         ~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38:   required from here
  203 |     int cost = c.colwise().minCoeff().minCoeff(&m);
      |                                      ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26:   required from here
   35 |     LLt(m, m) = Lt.col(m).head(k).squaredNorm();
      |                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34:   required from here
   35 |     LLt(m, m) = Lt.col(m).head(k).squaredNorm();
      |                                  ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52:   required from here
   25 |   Eigen::RowVectorXd ret = Eigen::RowVectorXd::Zero(K);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64:   required from here
   13 |       : m_(Eigen::VectorXd::Zero(n)), m2_(Eigen::MatrixXd::Zero(n, n)) {
      |                                           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31:   required from here
   26 |     Eigen::VectorXd delta(q - m_);
      |                               ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   required from here
   27 |     m_ += delta / num_samples_;
      |                   ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   required from here
   27 |     m_ += delta / num_samples_;
      |                   ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38:   required from here
   28 |     m2_ += (q - m_) * delta.transpose();
      |                       ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39:   required from here
   28 |     m2_ += (q - m_) * delta.transpose();
      |                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40:   required from here
   37 |       covar = m2_ / (num_samples_ - 1.0);
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30:   required from here
   28 |     m2_ += delta.cwiseProduct(q - m_);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/coupled_ode_system.hpp:78:63:   required from here
   78 |     Eigen::Map<Eigen::VectorXd>(dz_dt.data(), dz_dt.size()) = f_y_t;
      |                                                               ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 5>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 5, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 5, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 5, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/include/c++/16/tuple:82:23:   required from ‘struct std::_Tuple_impl<1, Eigen::Matrix<double, 5, 1, 0, 5, 1>, Eigen::Matrix<double, 4, 1, 0, 4, 1> >’
   82 |     = __conditional_t<__is_final(_Tp), false_type,
      |                       ^~~~~~~~~~~~~~~
/usr/include/c++/16/tuple:281:12:   required from ‘struct std::_Tuple_impl<0, std::array<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 4>, Eigen::Matrix<double, 5, 1, 0, 5, 1>, Eigen::Matrix<double, 4, 1, 0, 4, 1> >’
  281 |     struct _Tuple_impl<_Idx, _Head, _Tail...>
      |            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/tuple:833:11:   required from ‘class std::tuple<std::array<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 4>, Eigen::Matrix<double, 5, 1, 0, 5, 1>, Eigen::Matrix<double, 4, 1, 0, 4, 1> >’
  833 |     class tuple : public _Tuple_impl<0, _Elements...>
      |           ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:179:29:   required from here
  179 | make_GenzMalik(const int dim) {
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 5, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 5, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 5, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 5, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/include/c++/16/tuple:82:23:   required from ‘struct std::_Tuple_impl<1, Eigen::Matrix<double, 5, 1, 0, 5, 1>, Eigen::Matrix<double, 4, 1, 0, 4, 1> >’
   82 |     = __conditional_t<__is_final(_Tp), false_type,
      |                       ^~~~~~~~~~~~~~~
/usr/include/c++/16/tuple:281:12:   required from ‘struct std::_Tuple_impl<0, std::array<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 4>, Eigen::Matrix<double, 5, 1, 0, 5, 1>, Eigen::Matrix<double, 4, 1, 0, 4, 1> >’
  281 |     struct _Tuple_impl<_Idx, _Head, _Tail...>
      |            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/tuple:833:11:   required from ‘class std::tuple<std::array<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 4>, Eigen::Matrix<double, 5, 1, 0, 5, 1>, Eigen::Matrix<double, 4, 1, 0, 4, 1> >’
  833 |     class tuple : public _Tuple_impl<0, _Elements...>
      |           ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:179:29:   required from here
  179 | make_GenzMalik(const int dim) {
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64:   required from here
   40 |                                            coupled_state.size());
      |                                                                ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/mpl/arg.hpp:25,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/mpl/placeholders.hpp:24,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/mpl/apply.hpp:24,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/serialization/array_optimization.hpp:18,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/serialization/array_wrapper.hpp:21,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/serialization/array.hpp:26,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/numeric/ublas/storage.hpp:22,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/numeric/ublas/vector.hpp:21,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/numeric/odeint.hpp:25,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor.hpp:17:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/mpl/assert.hpp: At global scope:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses]
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
      |                     -
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
      |     -
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses]
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/fusion/functional/invocation/invoke.hpp:52,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/fusion/functional/adapter/fused.hpp:17,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/fusion/functional/generation/make_fused.hpp:13,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/fusion/include/make_fused.hpp:11,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/numeric/odeint/util/resize.hpp:30,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/get_pointer.hpp:48:40: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
   48 | template<class T> T * get_pointer(std::auto_ptr<T> const& p)
      |                                        ^~~~~~~~
/usr/include/c++/16/bits/unique_ptr.h:58:28: note: declared here
   58 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:39:   required from ‘stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)> [with auto:334 = Eigen::Matrix<double, -1, 1>&]’
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |                            ~~~~~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>, Eigen::Matrix<double, -1, 1, 0, -1, 1>&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>, Eigen::Matrix<double, -1, 1, 0, -1, 1>&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:104:23:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(T2&&, F&&) [with T2 = Eigen::Matrix<double, -1, 1>&; F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>; T = Eigen::Matrix<double, -1, 1>&]’
  104 |     return make_holder(std::forward<F>(f), std::forward<T2>(x));
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39:   required from ‘auto stan::math::log_sum_exp(T&&) [with T = Eigen::Matrix<double, -1, 1>&; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
   83 |   return apply_vector_unary<T>::reduce(std::forward<T>(x), [](auto&& v) {
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   84 |     if (v.size() == 0) {
      |     ~~~~~~~~~~~~~~~~~~~~               
   85 |       return NEGATIVE_INFTY;
      |       ~~~~~~~~~~~~~~~~~~~~~~           
   86 |     }
      |     ~                                  
   87 |     const auto& v_ref = to_ref(v);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
   88 |     const double max = v_ref.maxCoeff();
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   89 |     if (!std::isfinite(max)) {
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~         
   90 |       return max;
      |       ~~~~~~~~~~~                      
   91 |     }
      |     ~                                  
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   93 |   });
      |   ~~                                   
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   required from here
   59 |     double log_sum_y = log_sum_exp(log_y);
      |                        ~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>, Eigen::Matrix<double, -1, 1, 0, -1, 1>&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>, Eigen::Matrix<double, -1, 1, 0, -1, 1>&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:104:23:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(T2&&, F&&) [with T2 = Eigen::Matrix<double, -1, 1>&; F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>; T = Eigen::Matrix<double, -1, 1>&]’
  104 |     return make_holder(std::forward<F>(f), std::forward<T2>(x));
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39:   required from ‘auto stan::math::log_sum_exp(T&&) [with T = Eigen::Matrix<double, -1, 1>&; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
   83 |   return apply_vector_unary<T>::reduce(std::forward<T>(x), [](auto&& v) {
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   84 |     if (v.size() == 0) {
      |     ~~~~~~~~~~~~~~~~~~~~               
   85 |       return NEGATIVE_INFTY;
      |       ~~~~~~~~~~~~~~~~~~~~~~           
   86 |     }
      |     ~                                  
   87 |     const auto& v_ref = to_ref(v);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
   88 |     const double max = v_ref.maxCoeff();
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   89 |     if (!std::isfinite(max)) {
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~         
   90 |       return max;
      |       ~~~~~~~~~~~                      
   91 |     }
      |     ~                                  
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   93 |   });
      |   ~~                                   
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   required from here
   59 |     double log_sum_y = log_sum_exp(log_y);
      |                        ~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42:   required from ‘stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)> [with auto:334 = Eigen::Matrix<double, -1, 1>&]’
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |                           ~~~~~~~~~~~~~~~^~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>, Eigen::Matrix<double, -1, 1, 0, -1, 1>&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>, Eigen::Matrix<double, -1, 1, 0, -1, 1>&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:104:23:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(T2&&, F&&) [with T2 = Eigen::Matrix<double, -1, 1>&; F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>; T = Eigen::Matrix<double, -1, 1>&]’
  104 |     return make_holder(std::forward<F>(f), std::forward<T2>(x));
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39:   required from ‘auto stan::math::log_sum_exp(T&&) [with T = Eigen::Matrix<double, -1, 1>&; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
   83 |   return apply_vector_unary<T>::reduce(std::forward<T>(x), [](auto&& v) {
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   84 |     if (v.size() == 0) {
      |     ~~~~~~~~~~~~~~~~~~~~               
   85 |       return NEGATIVE_INFTY;
      |       ~~~~~~~~~~~~~~~~~~~~~~           
   86 |     }
      |     ~                                  
   87 |     const auto& v_ref = to_ref(v);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
   88 |     const double max = v_ref.maxCoeff();
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   89 |     if (!std::isfinite(max)) {
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~         
   90 |       return max;
      |       ~~~~~~~~~~~                      
   91 |     }
      |     ~                                  
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   93 |   });
      |   ~~                                   
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   required from here
   59 |     double log_sum_y = log_sum_exp(log_y);
      |                        ~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:52:   required from ‘stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)> [with auto:334 = Eigen::Matrix<double, -1, 1>&]’
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>, Eigen::Matrix<double, -1, 1, 0, -1, 1>&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>, Eigen::Matrix<double, -1, 1, 0, -1, 1>&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:104:23:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(T2&&, F&&) [with T2 = Eigen::Matrix<double, -1, 1>&; F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>; T = Eigen::Matrix<double, -1, 1>&]’
  104 |     return make_holder(std::forward<F>(f), std::forward<T2>(x));
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39:   required from ‘auto stan::math::log_sum_exp(T&&) [with T = Eigen::Matrix<double, -1, 1>&; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
   83 |   return apply_vector_unary<T>::reduce(std::forward<T>(x), [](auto&& v) {
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   84 |     if (v.size() == 0) {
      |     ~~~~~~~~~~~~~~~~~~~~               
   85 |       return NEGATIVE_INFTY;
      |       ~~~~~~~~~~~~~~~~~~~~~~           
   86 |     }
      |     ~                                  
   87 |     const auto& v_ref = to_ref(v);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
   88 |     const double max = v_ref.maxCoeff();
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   89 |     if (!std::isfinite(max)) {
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~         
   90 |       return max;
      |       ~~~~~~~~~~~                      
   91 |     }
      |     ~                                  
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   93 |   });
      |   ~~                                   
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   required from here
   59 |     double log_sum_y = log_sum_exp(log_y);
      |                        ~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_multinomial_lpmf.hpp:80:63:   required from here
   80 |   auto ns_array = as_array_or_scalar(ns).template cast<double>().eval();
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:87:70:   required from ‘stan::math::log<Eigen::Array<double, -1, 1>&>(Eigen::Array<double, -1, 1>&)::<lambda(auto:51&&)> [with auto:51 = Eigen::Array<double, -1, 1>&]’
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |                                                         ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:58:44:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(T2&&, F&&) [with F = stan::math::log<Eigen::Array<double, -1, 1>&>(Eigen::Array<double, -1, 1>&)::<lambda(auto:51&&)>; T2 = Eigen::Array<double, -1, 1>&; stan::require_t<stan::is_eigen_array<typename stan::plain_type<typename std::decay<T2>::type, void>::type> >* <anonymous> = 0; T = Eigen::Array<double, -1, 1>&]’
   58 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:86:46:   required from ‘auto stan::math::log(Container&&) [with Container = Eigen::Array<double, -1, 1>&; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
   86 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_multinomial_lpmf.hpp:84:49:   required from here
   84 |     lp += log(n_sum) - (ns_array > 0).select(log(ns_array), 0.0).sum();
      |                                              ~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from ‘class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   52 | class Select : public internal::dense_xpr_base< Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >::type,
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_multinomial_lpmf.hpp:84:65:   required from here
   84 |     lp += log(n_sum) - (ns_array > 0).select(log(ns_array), 0.0).sum();
      |                                                                 ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59:   required from here
   38 |   Eigen::VectorXd stddev = S_ldlt.vectorD().array().sqrt().matrix();
      |                                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75:   required from here
   46 |       = mu + (S_ldlt.transpositionsP().transpose() * (S_ldlt.matrixL() * z));
      |                                                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76:   required from here
   46 |       = mu + (S_ldlt.transpositionsP().transpose() * (S_ldlt.matrixL() * z));
      |                                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/hmm_hidden_state_prob.hpp:77:52:   required from here
   77 |     alphas.col(n) = alphas.col(n).cwiseProduct(beta);
      |                                                    ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:71:73:   required from here
   71 |   probs_vec = alphas.col(n_transitions) / alphas.col(n_transitions).sum();
      |                                                                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |                     ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:25:32:   required from here
   25 |   S_inv = ldlt_of_S.solve(S_inv);
      |                                ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:36:   required from here
   27 |   return 0.5 * (asym.transpose() + asym);  // ensure symmetry
      |                                    ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   required from here
   27 |   return 0.5 * (asym.transpose() + asym);  // ensure symmetry
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   required from here
   27 |   return 0.5 * (asym.transpose() + asym);  // ensure symmetry
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   required from here
   27 |   return 0.5 * (asym.transpose() + asym);  // ensure symmetry
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47:   required from here
   89 |       = Sigma_ldlt.vectorD().array().inverse().sqrt().matrix();
      |                                               ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54:   required from here
   89 |       = Sigma_ldlt.vectorD().array().inverse().sqrt().matrix();
      |                                                      ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64:   required from here
  109 |                                 (Sigma_ldlt.matrixU().solve(X)).transpose()))
      |                                                                ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   recursively required by substitution of ‘template<int Side, class Other> const Eigen::internal::triangular_solve_retval<Side, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Other> Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase<U>&) const [with int Side = <missing>; Other = <missing>]’
  108 |                          * (D_ldlt.matrixU().solve(
      |                             ~~~~~~~~~~~~~~~~~~~~~~^
  109 |                                 (Sigma_ldlt.matrixU().solve(X)).transpose()))
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   required from here
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32:   required from here
  110 |                                .transpose()
      |                                ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32:   required from here
  110 |                                .transpose()
      |                                ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43:   required from here
  110 |                                .transpose()
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51:   required from here
  111 |                          * D_ldlt.transpositionsP());
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52:   required from here
  111 |                          * D_ldlt.transpositionsP());
      |                                                    ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:66:58:   required from ‘stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&)::<lambda(auto:12&&)> [with auto:12 = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >]’
   66 |           return std::forward<decltype(xx)>(xx).unaryExpr([](auto&& xxx) {
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
   67 |             return apply_scalar_unary<F, decltype(xxx)>::apply(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |                 std::forward<decltype(xxx)>(xxx));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
   69 |           });
      |           ~~                                              
/usr/include/c++/16/type_traits:2890:26:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&)::<lambda(auto:12&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&)::<lambda(auto:12&&)>; Args = {const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > > >}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:64:23:   required from ‘static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(TT&&) [with TT = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >; F = stan::math::lgamma_fun; T = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >]’
   64 |     return make_holder(
      |            ~~~~~~~~~~~^
   65 |         [](auto&& xx) {
      |         ~~~~~~~~~~~~~~~
   66 |           return std::forward<decltype(xx)>(xx).unaryExpr([](auto&& xxx) {
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |             return apply_scalar_unary<F, decltype(xxx)>::apply(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |                 std::forward<decltype(xxx)>(xxx));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   69 |           });
      |           ~~~          
   70 |         },
      |         ~~             
   71 |         std::forward<TT>(x));
      |         ~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:79:38:   required from ‘struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>’
   79 |       apply_scalar_unary<F, T>::apply(std::declval<T>()))>;
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:121:50:   required from ‘auto stan::math::lgamma(T&&) [with T = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >; stan::require_not_var_matrix_t<Container>* <anonymous> = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<T>* <anonymous> = 0; stan::require_container_t<T1>* <anonymous> = 0]’
  121 |   return apply_scalar_unary<lgamma_fun, T>::apply(std::forward<T>(x));
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44:   required from here
   39 |     lp += lgamma(1 + ns_map.sum()) - lgamma(1 + ns_map).sum();
      |                                      ~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:66:58:   required from ‘stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&)::<lambda(auto:12&&)> [with auto:12 = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&]’
   66 |           return std::forward<decltype(xx)>(xx).unaryExpr([](auto&& xxx) {
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
   67 |             return apply_scalar_unary<F, decltype(xxx)>::apply(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |                 std::forward<decltype(xxx)>(xxx));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
   69 |           });
      |           ~~                                              
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:417:28:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&)::<lambda(auto:12&&)>; long unsigned int ...Is = {0}; Args = {const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > > >}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = apply_scalar_unary<lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&&)::<lambda(auto:12&&)>; Args = {const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > > >}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:64:23:   required from ‘static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(TT&&) [with TT = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >; F = stan::math::lgamma_fun; T = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >]’
   64 |     return make_holder(
      |            ~~~~~~~~~~~^
   65 |         [](auto&& xx) {
      |         ~~~~~~~~~~~~~~~
   66 |           return std::forward<decltype(xx)>(xx).unaryExpr([](auto&& xxx) {
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |             return apply_scalar_unary<F, decltype(xxx)>::apply(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |                 std::forward<decltype(xxx)>(xxx));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   69 |           });
      |           ~~~          
   70 |         },
      |         ~~             
   71 |         std::forward<TT>(x));
      |         ~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:79:38:   required from ‘struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, void>’
   79 |       apply_scalar_unary<F, T>::apply(std::declval<T>()))>;
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:121:50:   required from ‘auto stan::math::lgamma(T&&) [with T = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >; stan::require_not_var_matrix_t<Container>* <anonymous> = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<T>* <anonymous> = 0; stan::require_container_t<T1>* <anonymous> = 0]’
  121 |   return apply_scalar_unary<lgamma_fun, T>::apply(std::forward<T>(x));
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44:   required from here
   39 |     lp += lgamma(1 + ns_map.sum()) - lgamma(1 + ns_map).sum();
      |                                      ~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/std_normal_log_qf.hpp:117:46:   required from here
  117 |       = Eigen::ArrayXd::LinSpaced(8, 0, 7) * log_inner_r - LOG_TEN;
      |                                              ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/std_normal_log_qf.hpp:117:60:   required from here
  117 |       = Eigen::ArrayXd::LinSpaced(8, 0, 7) * log_inner_r - LOG_TEN;
      |                                                            ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/std_normal_log_qf.hpp:121:33:   required from here
  121 |       = log_sum_exp(log_r_pow + num_map) - log_sum_exp(log_r_pow + den_map);
      |                                 ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:48:68:   required from here
   48 |   return L_S.template triangularView<Eigen::Lower>() * B.transpose();
      |                                                                    ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/dump.hpp: In member function ‘virtual std::vector<std::complex<double> > stan::io::dump::vals_c(const std::string&) const’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/dump.hpp:693:52: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  693 |       for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size();
      |                                          ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/dump.hpp:706:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  706 |              real_iter < val_i->second.first.size();
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>’
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from ‘class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/collect_adjoints.hpp:35:48:   required from here
   35 |           output_map.array() += input_map.adj().array();
      |                                                ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/collect_adjoints.hpp:35:55:   required from here
   35 |           output_map.array() += input_map.adj().array();
      |                                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/collect_adjoints.hpp:35:55:   required from here
   35 |           output_map.array() += input_map.adj().array();
      |                                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/collect_adjoints.hpp:124:63:   required from here
  124 |       output_map.array().adj() += ret->adj_ * input_map.array();
      |                                                               ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >::adj_Op, Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >::adj_Op, Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >::adj_Op, Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >::adj_Op, Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >::adj_Op, Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >::adj_Op, Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, Eigen::Dense>’
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from ‘class Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >::adj_Op, Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/collect_adjoints.hpp:124:63:   required from here
  124 |       output_map.array().adj() += ret->adj_ * input_map.array();
      |                                                               ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/collect_adjoints.hpp:124:63:   required from here
  124 |       output_map.array().adj() += ret->adj_ * input_map.array();
      |                                                               ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:14:7:   required from ‘class stan::math::arena_matrix<Eigen::Matrix<double, -1, -1>, void>’
   14 | class arena_matrix<MatrixType, require_eigen_dense_base_t<MatrixType>>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cholesky_corr_constrain.hpp:41:8:   required from here
   41 |   x_val.coeffRef(0, 0) = 1;
      |        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cholesky_factor_constrain.hpp:43:17:   required from here
   43 |     y_val.row(m).head(m) = x.val().segment(pos, m);
      |                 ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   28 |                           * arena_L_val.transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                           * arena_L_val.transpose();
      |                           ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:101:16:   required from here
  101 |       if (C_adj.size() > 0) {
      |                ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:110:28:   required from here
  110 |           = D_adj.adjoint().template triangularView<StrictlyUpper>();
      |                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:115:27:   required from here
  115 |       D_adj.diagonal() *= 0.5;
      |                           ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:76:42:   required from ‘class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
   76 |       MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
      |                                          ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:141:57:   required from here
  141 |   check_pos_definite("cholesky_decompose", "m", L_factor);
      |                                                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41:   required from here
   79 |     vector_d di = 2 * adj_ * (v1_map.val() - v2_map.val());
      |                               ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57:   required from here
   79 |     vector_d di = 2 * adj_ * (v1_map.val() - v2_map.val());
      |                                                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58:   required from here
   79 |     vector_d di = 2 * adj_ * (v1_map.val() - v2_map.val());
      |                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>’
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from ‘class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >’
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15:   required from here
   80 |     v1_map.adj() += di;
      |     ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72:   required from here
  111 |         += 2 * adj_ * (v1_map.val() - Eigen::Map<vector_d>(v2_, length_));
      |                                                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73:   required from here
  111 |         += 2 * adj_ * (v1_map.val() - Eigen::Map<vector_d>(v2_, length_));
      |                                                                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:95:38:   required from here
   95 |           adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum();
      |                                      ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:95:63:   required from here
   95 |           adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum();
      |                                                               ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:95:70:   required from here
   95 |           adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum();
      |                                                                      ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:95:70:   required from here
   95 |           adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum();
      |                                                                      ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:95:72:   required from here
   95 |           adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum();
      |                                                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   recursively required by substitution of ‘template<class OtherDerived> static std::true_type stan::is_base_pointer_convertible<Eigen::EigenBase, Eigen::SparseMatrix<double, 1> >::f(const Eigen::EigenBase<Derived>*) [with OtherDerived = <missing>]’
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from ‘struct stan::is_base_pointer_convertible<Eigen::EigenBase, Eigen::SparseMatrix<double, 1> >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71:   required from ‘struct stan::is_eigen<Eigen::SparseMatrix<double, 1> >’
   21 |     : bool_constant<is_base_pointer_convertible<Eigen::EigenBase, T>::value> {};
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:301:19:   required by substitution of ‘template<class T> class stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type> [with T = Eigen::SparseMatrix<double, 1>]’
  301 |     (is_eigen<T>::value || is_kernel_expression_and_not_scalar<T>::value)
      |                   ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:190:40:   required from here
  190 |     arena_t<return_t> res = w_mat_arena.val() * value_of(b_arena);
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  148 | class SparseMapBase<Derived,WriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >’
  222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:182:7:   required from ‘class stan::math::arena_matrix<Eigen::SparseMatrix<double, 1>, void>’
  182 | class arena_matrix<MatrixType, require_eigen_sparse_base_t<MatrixType>>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:830:9:   required from ‘class stan::math::vari_value<Eigen::SparseMatrix<double, 1>, void>’
  830 |   using InnerIterator = typename arena_matrix<PlainObject>::InnerIterator;
      |         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:444:57:   required from ‘const auto& stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::val() const [with T = Eigen::SparseMatrix<double, 1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
  444 |   inline const auto& val() const noexcept { return vi_->val(); }
      |                                                    ~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:190:44:   required from here
  190 |     arena_t<return_t> res = w_mat_arena.val() * value_of(b_arena);
      |                             ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
   97 |             >::type SubDiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/eigendecompose_sym.hpp:39:46:   required from here
   39 |   arena_t<eigval_return_t> eigenvals = solver.eigenvalues();
      |                                              ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>’
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from ‘class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >’
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12:   required from here
   27 |   g = x.adj();
      |       ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:87:70:   required from ‘stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&&)::<lambda(auto:51&&)> [with auto:51 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&]’
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |                                                         ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:44:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(T2&&, F&&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&&)::<lambda(auto:51&&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<typename std::decay<T2>::type, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]’
   46 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:86:46:   required from ‘auto stan::math::log(Container&&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
   86 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:50:24:   required from here
   50 |   var log_det = sum(log(M_ldlt.vectorD()));
      |                     ~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:48:71:   required from ‘stan::math::apply_vector_unary<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, void>::apply<stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&&)::<lambda(auto:51&&)>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&&, stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&&)::<lambda(auto:51&&)>&&)::<lambda(auto:16&&)> [with auto:16 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >]’
   48 |           [](auto&& xx) { return std::forward<decltype(xx)>(xx).matrix(); },
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::apply_vector_unary<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, void>::apply<stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&&)::<lambda(auto:51&&)>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&&, stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&&)::<lambda(auto:51&&)>&&)::<lambda(auto:16&&)>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0> > >&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::apply_vector_unary<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, void>::apply<stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&&)::<lambda(auto:51&&)>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&&, stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&&)::<lambda(auto:51&&)>&&)::<lambda(auto:16&&)>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0> > >&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::apply_vector_unary<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, void>::apply<stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&&)::<lambda(auto:51&&)>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&&, stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&&)::<lambda(auto:51&&)>&&)::<lambda(auto:16&&)>; Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0> > >}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(T2&&, F&&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&&)::<lambda(auto:51&&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<typename std::decay<T2>::type, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]’
   47 |       return make_holder(
      |              ~~~~~~~~~~~^
   48 |           [](auto&& xx) { return std::forward<decltype(xx)>(xx).matrix(); },
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |           make_holder(std::forward<F>(f), std::forward<T2>(x)));
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:86:46:   required from ‘auto stan::math::log(Container&&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
   86 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:50:24:   required from here
   50 |   var log_det = sum(log(M_ldlt.vectorD()));
      |                     ~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:14:7:   required from ‘class stan::math::arena_matrix<Eigen::Matrix<double, -1, -1, 1, -1, -1>, void>’
   14 | class arena_matrix<MatrixType, require_eigen_dense_base_t<MatrixType>>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:52:44:   required from here
   52 |   reverse_pass_callback([arena_M, log_det, arena_M_inv_transpose]() mutable {
      |                                            ^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:7,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/log_mix.hpp:6,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun.hpp:114,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev.hpp:14,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:8,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:49:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp: In constructor ‘stan::math::internal::ops_partials_edge<double, std::vector<std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > > > >::ops_partials_edge(const std::vector<std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > > >&)’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:223:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare]
  223 |     for (size_t i = 0; i < stan::math::size(ops); ++i) {
      |                        ~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47:   required from here
   73 |   vector_d diff = (x_d.array() - x_d.maxCoeff());
      |                                               ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:81:75:   required from here
   81 |   Eigen::Map<vector_d>(softmax_x_d_array, a_size) = softmax_x_d.array() / sum;
      |                                                                           ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:51:51:   required from here
   51 |   arena_powers[0] = Eigen::MatrixXd::Identity(N, N);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:54:59:   required from here
   54 |     arena_powers[i] = arena_powers[1] * arena_powers[i - 1];
      |                                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:54:   required from here
   64 |       adj_M += adj_C * arena_powers[i - 1].transpose();
      |                                                      ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:65:35:   required from here
   65 |       adj_C = M_val.transpose() * adj_C;
      |                                   ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:65:35:   required from here
   65 |       adj_C = M_val.transpose() * adj_C;
      |                                   ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> >, Eigen::Dense>’
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from ‘class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >’
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:68:55:   required from here
   68 |     Eigen::Map<matrix_vi>(variRefB_, M_, N_).adj() += adjB;
      |                                                       ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:86:56:   required from here
   86 |     adjA = -adjB * Map<matrix_d>(C_, M_, N_).transpose();
      |                                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:86:56:   required from here
   86 |     adjA = -adjB * Map<matrix_d>(C_, M_, N_).transpose();
      |                                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46:   required from here
   25 |       matrix_d M = 0.5 * (Cd + Cd.transpose());
      |                                              ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11:   required from here
   55 |   L.col(0).tail(pull) = CPCs.val().head(pull);
      |           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:14:7:   required from ‘class stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>’
   14 | class arena_matrix<MatrixType, require_eigen_dense_base_t<MatrixType>>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12:   required from here
   56 |   arena_acc.tail(pull) = 1.0 - CPCs.val().head(pull).array().square();
      |            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57:   required from here
   63 |     L.col(i).tail(pull) = cpc_seg * arena_acc.tail(pull).sqrt();
      |                                                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37:   required from here
   86 |           -= 2.0 * acc_adj.tail(pull) * acc_val.tail(pull) * cpc_seg_val;
      |                                     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58:   required from here
   86 |           -= 2.0 * acc_adj.tail(pull) * acc_val.tail(pull) * cpc_seg_val;
      |                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33:   required from here
   90 |           += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt();
      |                                 ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40:   required from here
   90 |           += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt();
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78:   required from here
   90 |           += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt();
      |                                                                              ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78:   required from here
   90 |           += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt();
      |                                                                              ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:57:57:   required from here
   57 |     sds.adj() += (prod.adj().cwiseProduct(corr_L.val())).rowwise().sum();
      |                                                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/rows_dot_self.hpp:42:33:   required from here
   42 |       x.adj() += (2 * res.adj()).asDiagonal() * x.val();
      |                                 ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/svd.hpp:57:22:   required from here
   57 |   arena_Fp.diagonal().setZero();
      |                      ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/svd.hpp:70:66:   required from here
   70 |               * (arena_Fp.array() * (UUadjT - UUadjT.transpose()).array())
      |                                                                  ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/svd.hpp:70:73:   required from here
   70 |               * (arena_Fp.array() * (UUadjT - UUadjT.transpose()).array())
      |                                                                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/svd.hpp:71:21:   required from here
   71 |                     .matrix()
      |                     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:62:30:   required from here
   62 |                      .matrix()
      |                              ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:62:30:   required from here
   62 |                      .matrix()
      |                              ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47:   required from ‘struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
  278 |   typedef typename DiagonalVectorType::Scalar Scalar;
      |                                               ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   required from ‘struct Eigen::EigenBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   42 |   typedef typename internal::traits<Derived>::StorageKind StorageKind;
      |                                                           ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7:   required from ‘class Eigen::DiagonalBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   18 | class DiagonalBase : public EigenBase<Derived>
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7:   required from ‘class Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
  293 | class DiagonalWrapper
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:64:53:   required from here
   64 |            + arena_U * arena_D.asDiagonal().inverse()
      |                                                     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/variance.hpp:24:36:   required from here
   24 |   vector_d dtrs_vals = dtrs_map.val();
      |                        ~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/variance.hpp:26:54:   required from here
   26 |   vector_d diff = dtrs_vals.array() - dtrs_vals.mean();
      |                                                      ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:57:   required from here
   28 |   Eigen::Map<vector_d>(partials, size) = 2 * diff.array() / size_m1;
      |                                                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:61:   required from here
   28 |   Eigen::Map<vector_d>(partials, size) = 2 * diff.array() / size_m1;
      |                                                             ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/jacobian.hpp:27:19:   required from here
   27 |   fx = fx_var.val();
      |                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   required from ‘struct std::__result_of_impl<false, false, stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>, const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>&>’
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>, const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>, const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:83:21:   required from ‘auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_eigen_dense_base_t<EigMat>* <anonymous> = 0; stan::require_not_st_arithmetic<T>* <anonymous> = 0]’
   83 |   return make_holder(
      |          ~~~~~~~~~~~^
   84 |       [](auto&& a) {
      |       ~~~~~~~~~~~~~~ 
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |       },
      |       ~~             
   87 |       std::forward<EigMat>(M));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:101:37:   required from here
  101 |         y_dummy(stan::math::value_of(y)),
      |                 ~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from ‘class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:371:58:   required from here
  371 |     Eigen::VectorXd eta = -Jf_x_T_lu_ptr->solve(ret.adj().eval());
      |                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:371:65:   required from here
  371 |     Eigen::VectorXd eta = -Jf_x_T_lu_ptr->solve(ret.adj().eval());
      |                                                                 ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/cvodes_integrator_adjoint.hpp:603:70:   required from here
  603 |     f_y_t_vars.adj() = -Eigen::Map<Eigen::VectorXd>(NV_DATA_S(yB), N_);
      |                                                                      ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/finite_diff_hessian_times_vector_auto.hpp:64:54:   required from here
   64 |   hvp = (grad_forward - grad_backward) / (2 * epsilon);
      |                                                      ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/initialize.hpp:7,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/random_var_context.hpp: In member function ‘virtual std::vector<std::complex<double> > stan::io::random_var_context::vals_c(const std::string&) const’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/random_var_context.hpp:111:52: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  111 |       for (comp_iter = 0, real_iter = 0; real_iter < val_r.size();
      |                                          ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62:   required from here
  182 |     return normal_fullrank(Eigen::VectorXd(mu_.array().square()),
      |                                            ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:57:   required from here
  183 |                            Eigen::MatrixXd(L_chol_.array().square()));
      |                                            ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66:   required from here
  183 |                            Eigen::MatrixXd(L_chol_.array().square()));
      |                                            ~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60:   required from here
  197 |     return normal_fullrank(Eigen::VectorXd(mu_.array().sqrt()),
      |                                            ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64:   required from here
  198 |                            Eigen::MatrixXd(L_chol_.array().sqrt()));
      |                                            ~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:23:   required from here
  351 |     return (L_chol_ * eta) + mu_;
      |                       ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30:   required from here
  351 |     return (L_chol_ * eta) + mu_;
      |                              ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60:   required from here
  459 |     L_grad.diagonal().array() += L_chol_.diagonal().array().inverse();
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
  459 |     L_grad.diagonal().array() += L_chol_.diagonal().array().inverse();
      |                                                                     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55:   required from here
  314 |     return eta.array().cwiseProduct(omega_.array().exp()) + mu_.array();
      |                                     ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36:   required from here
  314 |     return eta.array().cwiseProduct(omega_.array().exp()) + mu_.array();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71:   required from here
  314 |     return eta.array().cwiseProduct(omega_.array().exp()) + mu_.array();
      |                                                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75:   required from here
  370 |         omega_grad.array() += tmp_mu_grad.array().cwiseProduct(eta.array());
      |                                                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:78:   required from here
  388 |     omega_grad.array() = omega_grad.array().cwiseProduct(omega_.array().exp());
      |                                                                              ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
      |                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:175:23:   required from here
  175 |       rho = rho_bck + rho_fwd;
      |                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38:   required from here
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38:   required from here
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from here
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
      |                                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from here
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
      |                                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from here
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
      |                                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:50:   required from here
   53 |     z.p = z.inv_e_metric_.llt().matrixU().solve(u);
      |                                                  ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/create_unit_e_diag_inv_metric.hpp:4,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/inv_metric.hpp:1,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e.hpp:14,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:56:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp: In member function ‘virtual std::vector<std::complex<double> > stan::io::array_var_context::vals_c(const std::string&) const’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp:304:52: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  304 |       for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size();
      |                                          ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp:317:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  317 |              real_iter < val_i->second.first.size();
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:141:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  141 |           return Eigen::Map<const Eigen::Matrix<
      |                         ^~~~~~~~~~~~~~~~~~~~~~~~
  142 |               value_type_t<decltype(x_)>, Eigen::Dynamic, Eigen::Dynamic>>(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  143 |               &x_[0], m, n);
      |               ~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   required from ‘struct std::__result_of_impl<false, false, stan::math::to_matrix<std::vector<double>&>(std::vector<double>&, int, int)::<lambda(auto:375&&)>, std::vector<double, std::allocator<double> >&>’
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::to_matrix<std::vector<double>&>(std::vector<double>&, int, int)::<lambda(auto:375&&)>, std::vector<double, std::allocator<double> >&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::to_matrix<std::vector<double>&>(std::vector<double>&, int, int)::<lambda(auto:375&&)>, std::vector<double, std::allocator<double> >&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::to_matrix<std::vector<double>&>(std::vector<double>&, int, int)::<lambda(auto:375&&)>; Args = {std::vector<double, std::allocator<double> >&}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:133:21:   required from ‘auto stan::math::to_matrix(T&&, int, int) [with T = std::vector<double>&; stan::require_std_vector_vt<stan::is_stan_scalar, T>* <anonymous> = 0]’
  133 |   return make_holder(
      |          ~~~~~~~~~~~^
  134 |       [m, n](auto&& x_) {
      |       ~~~~~~~~~~~~~~~~~~~
  135 |         if constexpr (std::is_integral_v<value_type_t<decltype(x_)>>) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  136 |           return Eigen::Map<const Eigen::Matrix<
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  137 |               value_type_t<decltype(x_)>, Eigen::Dynamic, Eigen::Dynamic>>(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  138 |                      &x_[0], m, n)
      |                      ~~~~~~~~~~~~~
  139 |               .template cast<double>();
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         } else {
      |         ~~~~~~~~     
  141 |           return Eigen::Map<const Eigen::Matrix<
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |               value_type_t<decltype(x_)>, Eigen::Dynamic, Eigen::Dynamic>>(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  143 |               &x_[0], m, n);
      |               ~~~~~~~~~~~~~~
  144 |         }
      |         ~            
  145 |       },
      |       ~~             
  146 |       std::forward<T>(x));
      |       ~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39:   required from here
   33 |     inv_metric = stan::math::to_matrix(dense_vals, num_params, num_params);
      |                  ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:27:33:   required from here
   27 |       covar = (n / (n + 5.0)) * covar
      |                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
   29 |                     * Eigen::MatrixXd::Identity(covar.rows(), covar.cols());
      |                                                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
   29 |                     * Eigen::MatrixXd::Identity(covar.rows(), covar.cols());
      |                                                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   recursively required by substitution of ‘template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]’
   21 |     return 0.5 * z.p.dot(z.inv_e_metric_.cwiseProduct(z.p));
      |                  ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from here
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31:   required from here
   27 |       var = (n / (n + 5.0)) * var
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   required from here
   28 |             + 1e-3 * (5.0 / (n + 5.0)) * Eigen::VectorXd::Ones(var.size());
      |                                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   required from here
   28 |             + 1e-3 * (5.0 / (n + 5.0)) * Eigen::VectorXd::Ones(var.size());
      |                                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:74:71:   required from here
   74 |       Eigen::Map<Eigen::VectorXd>(&row[0], draws.cols()) = draws.row(i);
      |                                                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:14:7:   required from ‘class stan::math::arena_matrix<Eigen::Matrix<double, 1, -1>, void>’
   14 | class arena_matrix<MatrixType, require_eigen_dense_base_t<MatrixType>>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.hpp:145:15:   required from here
  145 |     x_ret_vals.coeffRef(j) = x.val().coeff(row_idx_val, col_idx_vals[j]);
      |               ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_header.hpp:5,
                 from stanExports_stanmarg.h:25:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_base_crtp.hpp: At global scope:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_base_crtp.hpp:91:17: warning: ‘double stan::model::model_base_crtp<M>::log_prob(Eigen::VectorXd&, std::ostream*) const [with M = model_stanmarg_namespace::model_stanmarg; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::ostream = std::basic_ostream<char>]’ was hidden [-Woverloaded-virtual=]
   91 |   inline double log_prob(Eigen::VectorXd& theta,
      |                 ^~~~~~~~
stanExports_stanmarg.h:28877:3: note:   by ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(Eigen::Matrix<T_x2, -1, 1>&, std::ostream*) const’
28877 |   log_prob(Eigen::Matrix<T_,-1,1>& params_r, std::ostream* pstream = nullptr) const {
      |   ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_base_crtp.hpp:159:20: warning: ‘stan::math::var stan::model::model_base_crtp<M>::log_prob(std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >&, std::vector<int>&, std::ostream*) const [with M = model_stanmarg_namespace::model_stanmarg; stan::math::var = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’ was hidden [-Woverloaded-virtual=]
  159 |   inline math::var log_prob(std::vector<math::var>& theta,
      |                    ^~~~~~~~
stanExports_stanmarg.h:28877:3: note:   by ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(Eigen::Matrix<T_x2, -1, 1>&, std::ostream*) const’
28877 |   log_prob(Eigen::Matrix<T_,-1,1>& params_r, std::ostream* pstream = nullptr) const {
      |   ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_base_crtp.hpp:96:20: warning: ‘stan::math::var stan::model::model_base_crtp<M>::log_prob(Eigen::Matrix<stan::math::var_value<double>, -1, 1>&, std::ostream*) const [with M = model_stanmarg_namespace::model_stanmarg; stan::math::var = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’ was hidden [-Woverloaded-virtual=]
   96 |   inline math::var log_prob(Eigen::Matrix<math::var, -1, 1>& theta,
      |                    ^~~~~~~~
stanExports_stanmarg.h:28877:3: note:   by ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(Eigen::Matrix<T_x2, -1, 1>&, std::ostream*) const’
28877 |   log_prob(Eigen::Matrix<T_,-1,1>& params_r, std::ostream* pstream = nullptr) const {
      |   ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_base_crtp.hpp:154:17: warning: ‘double stan::model::model_base_crtp<M>::log_prob(std::vector<double>&, std::vector<int>&, std::ostream*) const [with M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’ was hidden [-Woverloaded-virtual=]
  154 |   inline double log_prob(std::vector<double>& theta, std::vector<int>& theta_i,
      |                 ^~~~~~~~
stanExports_stanmarg.h:28877:3: note:   by ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(Eigen::Matrix<T_x2, -1, 1>&, std::ostream*) const’
28877 |   log_prob(Eigen::Matrix<T_,-1,1>& params_r, std::ostream* pstream = nullptr) const {
      |   ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_base_crtp.hpp:205:8: warning: ‘void stan::model::model_base_crtp<M>::write_array(stan::rng_t&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with M = model_stanmarg_namespace::model_stanmarg; stan::rng_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’ was hidden [-Woverloaded-virtual=]
  205 |   void write_array(stan::rng_t& rng, std::vector<double>& theta,
      |        ^~~~~~~~~~~
stanExports_stanmarg.h:28716:3: note:   by ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&, bool, bool, std::ostream*) const’
28716 |   write_array(RNG& base_rng, Eigen::Matrix<double,-1,1>& params_r,
      |   ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_base_crtp.hpp:136:8: warning: ‘void stan::model::model_base_crtp<M>::write_array(stan::rng_t&, Eigen::VectorXd&, Eigen::VectorXd&, bool, bool, std::ostream*) const [with M = model_stanmarg_namespace::model_stanmarg; stan::rng_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::ostream = std::basic_ostream<char>]’ was hidden [-Woverloaded-virtual=]
  136 |   void write_array(stan::rng_t& rng, Eigen::VectorXd& theta,
      |        ^~~~~~~~~~~
stanExports_stanmarg.h:28716:3: note:   by ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&, bool, bool, std::ostream*) const’
28716 |   write_array(RNG& base_rng, Eigen::Matrix<double,-1,1>& params_r,
      |   ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:533:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  533 |         return x_ref(
      |                ~~~~~^
  534 |             (vec_map(row_idx_inner.ns_.data(), row_idx_inner.ns_.size()) - 1),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |             (vec_map(col_idx_inner.ns_.data(), col_idx_inner.ns_.size()) - 1));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::model::rvalue<Eigen::Matrix<double, -1, -1>&, index_multi, index_multi>(Eigen::Matrix<double, -1, -1>&, const char*, index_multi&&, index_multi&&)::<lambda(auto:932&&, auto:933&&, auto:934&&)>, Eigen::Matrix<double, -1, -1, 0, -1, -1>&, stan::model::index_multi&&, stan::model::index_multi&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::model::rvalue<Eigen::Matrix<double, -1, -1>&, index_multi, index_multi>(Eigen::Matrix<double, -1, -1>&, const char*, index_multi&&, index_multi&&)::<lambda(auto:932&&, auto:933&&, auto:934&&)>, Eigen::Matrix<double, -1, -1, 0, -1, -1>&, stan::model::index_multi&&, stan::model::index_multi&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::model::rvalue<Eigen::Matrix<double, -1, -1>&, index_multi, index_multi>(Eigen::Matrix<double, -1, -1>&, const char*, index_multi&&, index_multi&&)::<lambda(auto:932&&, auto:933&&, auto:934&&)>; Args = {Eigen::Matrix<double, -1, -1, 0, -1, -1>&, stan::model::index_multi, stan::model::index_multi}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:530:33:   required from ‘auto stan::model::rvalue(EigMat&&, const char*, RowMultiIndex&&, ColMultiIndex&&) [with EigMat = Eigen::Matrix<double, -1, -1>&; RowMultiIndex = index_multi; ColMultiIndex = index_multi; stan::require_eigen_dense_dynamic_t<M>* <anonymous> = 0; stan::require_same_t<MultiIndex, index_multi>* <anonymous> = 0; stan::require_same_t<ColMultiIndex, index_multi>* <anonymous> = 0]’
  530 |   return stan::math::make_holder(
      |          ~~~~~~~~~~~~~~~~~~~~~~~^
  531 |       [](auto&& x_ref, auto&& row_idx_inner, auto&& col_idx_inner) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  532 |         using vec_map = Eigen::Map<const Eigen::Array<int, -1, 1>>;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  533 |         return x_ref(
      |         ~~~~~~~~~~~~~            
  534 |             (vec_map(row_idx_inner.ns_.data(), row_idx_inner.ns_.size()) - 1),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |             (vec_map(col_idx_inner.ns_.data(), col_idx_inner.ns_.size()) - 1));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |       },
      |       ~~                         
  537 |       stan::math::to_ref(std::forward<EigMat>(x)),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |       std::forward<RowMultiIndex>(row_idx),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |       std::forward<ColMultiIndex>(col_idx));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; Idxs = {index_multi, index_multi}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:14287:32:   required from here
14287 |             stan::model::rvalue(S, "S", stan::model::index_uni(patt),
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14288 |               stan::model::index_multi(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~
14289 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14290 |                   stan::model::index_uni(patt),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14291 |                   stan::model::index_min_max(1,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14292 |                     stan::model::rvalue(Nobs, "Nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14293 |                       stan::model::index_uni(patt))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14294 |               stan::model::index_multi(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~
14295 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14296 |                   stan::model::index_uni(patt),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14297 |                   stan::model::index_min_max(1,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14298 |                     stan::model::rvalue(Nobs, "Nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14299 |                       stan::model::index_uni(patt)))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:148:7:   required from ‘class stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>’
  148 | class Holder
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:398:16:   required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence<Is ...>, const std::tuple<Args* ...>&) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; long unsigned int ...Is = {0, 1}; Args = {stan::model::index_multi, stan::model::index_multi}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0, 1>]’
  398 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:416:43:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::model::rvalue<Eigen::Matrix<double, -1, -1>&, index_multi, index_multi>(Eigen::Matrix<double, -1, -1>&, const char*, index_multi&&, index_multi&&)::<lambda(auto:932&&, auto:933&&, auto:934&&)>; long unsigned int ...Is = {0, 1, 2}; Args = {Eigen::Matrix<double, -1, -1, 0, -1, -1>&, stan::model::index_multi, stan::model::index_multi}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0, 1, 2>]’
  416 |   return make_holder_impl_construct_object(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  418 |       std::make_index_sequence<std::tuple_size<decltype(ptrs)>::value>(), ptrs);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::model::rvalue<Eigen::Matrix<double, -1, -1>&, index_multi, index_multi>(Eigen::Matrix<double, -1, -1>&, const char*, index_multi&&, index_multi&&)::<lambda(auto:932&&, auto:933&&, auto:934&&)>; Args = {Eigen::Matrix<double, -1, -1, 0, -1, -1>&, stan::model::index_multi, stan::model::index_multi}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:530:33:   required from ‘auto stan::model::rvalue(EigMat&&, const char*, RowMultiIndex&&, ColMultiIndex&&) [with EigMat = Eigen::Matrix<double, -1, -1>&; RowMultiIndex = index_multi; ColMultiIndex = index_multi; stan::require_eigen_dense_dynamic_t<M>* <anonymous> = 0; stan::require_same_t<MultiIndex, index_multi>* <anonymous> = 0; stan::require_same_t<ColMultiIndex, index_multi>* <anonymous> = 0]’
  530 |   return stan::math::make_holder(
      |          ~~~~~~~~~~~~~~~~~~~~~~~^
  531 |       [](auto&& x_ref, auto&& row_idx_inner, auto&& col_idx_inner) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  532 |         using vec_map = Eigen::Map<const Eigen::Array<int, -1, 1>>;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  533 |         return x_ref(
      |         ~~~~~~~~~~~~~            
  534 |             (vec_map(row_idx_inner.ns_.data(), row_idx_inner.ns_.size()) - 1),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |             (vec_map(col_idx_inner.ns_.data(), col_idx_inner.ns_.size()) - 1));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |       },
      |       ~~                         
  537 |       stan::math::to_ref(std::forward<EigMat>(x)),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |       std::forward<RowMultiIndex>(row_idx),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |       std::forward<ColMultiIndex>(col_idx));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; Idxs = {index_multi, index_multi}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:14287:32:   required from here
14287 |             stan::model::rvalue(S, "S", stan::model::index_uni(patt),
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14288 |               stan::model::index_multi(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~
14289 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14290 |                   stan::model::index_uni(patt),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14291 |                   stan::model::index_min_max(1,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14292 |                     stan::model::rvalue(Nobs, "Nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14293 |                       stan::model::index_uni(patt))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14294 |               stan::model::index_multi(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~
14295 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14296 |                   stan::model::index_uni(patt),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14297 |                   stan::model::index_min_max(1,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14298 |                     stan::model::rvalue(Nobs, "Nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14299 |                       stan::model::index_uni(patt)))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.hpp:7,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing.hpp:13,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_header.hpp:13:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp: In instantiation of ‘auto stan::model::rvalue(EigMat&&, const char*, RowMultiIndex&&, ColMultiIndex&&) [with EigMat = Eigen::Matrix<double, -1, -1>&; RowMultiIndex = index_multi; ColMultiIndex = index_multi; stan::require_eigen_dense_dynamic_t<M>* <anonymous> = 0; stan::require_same_t<MultiIndex, index_multi>* <anonymous> = 0; stan::require_same_t<ColMultiIndex, index_multi>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; Idxs = {index_multi, index_multi}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:14287:32:   required from here
14287 |             stan::model::rvalue(S, "S", stan::model::index_uni(patt),
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14288 |               stan::model::index_multi(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~
14289 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14290 |                   stan::model::index_uni(patt),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14291 |                   stan::model::index_min_max(1,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14292 |                     stan::model::rvalue(Nobs, "Nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14293 |                       stan::model::index_uni(patt))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14294 |               stan::model::index_multi(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~
14295 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14296 |                   stan::model::index_uni(patt),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14297 |                   stan::model::index_min_max(1,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14298 |                     stan::model::rvalue(Nobs, "Nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14299 |                       stan::model::index_uni(patt)))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:520:22: warning: unused variable ‘rows’ [-Wunused-variable]
  520 |   const Eigen::Index rows = row_idx.ns_.size();
      |                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:521:22: warning: unused variable ‘cols’ [-Wunused-variable]
  521 |   const Eigen::Index cols = col_idx.ns_.size();
      |                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:533:21:   required from ‘stan::model::rvalue<const Eigen::Matrix<double, -1, -1>&, index_multi, index_multi>(const Eigen::Matrix<double, -1, -1>&, const char*, index_multi&&, index_multi&&)::<lambda(auto:932&&, auto:933&&, auto:934&&)> [with auto:932 = const Eigen::Matrix<double, -1, -1>&; auto:933 = stan::model::index_multi; auto:934 = stan::model::index_multi]’
  533 |         return x_ref(
      |                ~~~~~^
  534 |             (vec_map(row_idx_inner.ns_.data(), row_idx_inner.ns_.size()) - 1),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |             (vec_map(col_idx_inner.ns_.data(), col_idx_inner.ns_.size()) - 1));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::model::rvalue<const Eigen::Matrix<double, -1, -1>&, index_multi, index_multi>(const Eigen::Matrix<double, -1, -1>&, const char*, index_multi&&, index_multi&&)::<lambda(auto:932&&, auto:933&&, auto:934&&)>, const Eigen::Matrix<double, -1, -1, 0, -1, -1>&, stan::model::index_multi&&, stan::model::index_multi&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::model::rvalue<const Eigen::Matrix<double, -1, -1>&, index_multi, index_multi>(const Eigen::Matrix<double, -1, -1>&, const char*, index_multi&&, index_multi&&)::<lambda(auto:932&&, auto:933&&, auto:934&&)>, const Eigen::Matrix<double, -1, -1, 0, -1, -1>&, stan::model::index_multi&&, stan::model::index_multi&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::model::rvalue<const Eigen::Matrix<double, -1, -1>&, index_multi, index_multi>(const Eigen::Matrix<double, -1, -1>&, const char*, index_multi&&, index_multi&&)::<lambda(auto:932&&, auto:933&&, auto:934&&)>; Args = {const Eigen::Matrix<double, -1, -1, 0, -1, -1>&, stan::model::index_multi, stan::model::index_multi}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:530:33:   required from ‘auto stan::model::rvalue(EigMat&&, const char*, RowMultiIndex&&, ColMultiIndex&&) [with EigMat = const Eigen::Matrix<double, -1, -1>&; RowMultiIndex = index_multi; ColMultiIndex = index_multi; stan::require_eigen_dense_dynamic_t<M>* <anonymous> = 0; stan::require_same_t<MultiIndex, index_multi>* <anonymous> = 0; stan::require_same_t<ColMultiIndex, index_multi>* <anonymous> = 0]’
  530 |   return stan::math::make_holder(
      |          ~~~~~~~~~~~~~~~~~~~~~~~^
  531 |       [](auto&& x_ref, auto&& row_idx_inner, auto&& col_idx_inner) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  532 |         using vec_map = Eigen::Map<const Eigen::Array<int, -1, 1>>;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  533 |         return x_ref(
      |         ~~~~~~~~~~~~~            
  534 |             (vec_map(row_idx_inner.ns_.data(), row_idx_inner.ns_.size()) - 1),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |             (vec_map(col_idx_inner.ns_.data(), col_idx_inner.ns_.size()) - 1));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |       },
      |       ~~                         
  537 |       stan::math::to_ref(std::forward<EigMat>(x)),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |       std::forward<RowMultiIndex>(row_idx),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |       std::forward<ColMultiIndex>(col_idx));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = const std::vector<Eigen::Matrix<double, -1, -1> >; Idxs = {index_multi, index_multi}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:16584:32:   required from here
16584 |             stan::model::rvalue(cov_w, "cov_w", stan::model::index_uni(g),
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
16585 |               stan::model::index_multi(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~
16586 |                 stan::model::rvalue(between_idx, "between_idx",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
16587 |                   stan::model::index_min_max((N_between + 1), p_tilde))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
16588 |               stan::model::index_multi(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~
16589 |                 stan::model::rvalue(between_idx, "between_idx",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
16590 |                   stan::model::index_min_max((N_between + 1), p_tilde)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:148:7:   required from ‘class stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>’
  148 | class Holder
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:398:16:   required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence<Is ...>, const std::tuple<Args* ...>&) [with T = Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; long unsigned int ...Is = {0, 1}; Args = {stan::model::index_multi, stan::model::index_multi}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0, 1>]’
  398 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:416:43:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::model::rvalue<const Eigen::Matrix<double, -1, -1>&, index_multi, index_multi>(const Eigen::Matrix<double, -1, -1>&, const char*, index_multi&&, index_multi&&)::<lambda(auto:932&&, auto:933&&, auto:934&&)>; long unsigned int ...Is = {0, 1, 2}; Args = {const Eigen::Matrix<double, -1, -1, 0, -1, -1>&, stan::model::index_multi, stan::model::index_multi}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0, 1, 2>]’
  416 |   return make_holder_impl_construct_object(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  418 |       std::make_index_sequence<std::tuple_size<decltype(ptrs)>::value>(), ptrs);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::model::rvalue<const Eigen::Matrix<double, -1, -1>&, index_multi, index_multi>(const Eigen::Matrix<double, -1, -1>&, const char*, index_multi&&, index_multi&&)::<lambda(auto:932&&, auto:933&&, auto:934&&)>; Args = {const Eigen::Matrix<double, -1, -1, 0, -1, -1>&, stan::model::index_multi, stan::model::index_multi}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:530:33:   required from ‘auto stan::model::rvalue(EigMat&&, const char*, RowMultiIndex&&, ColMultiIndex&&) [with EigMat = const Eigen::Matrix<double, -1, -1>&; RowMultiIndex = index_multi; ColMultiIndex = index_multi; stan::require_eigen_dense_dynamic_t<M>* <anonymous> = 0; stan::require_same_t<MultiIndex, index_multi>* <anonymous> = 0; stan::require_same_t<ColMultiIndex, index_multi>* <anonymous> = 0]’
  530 |   return stan::math::make_holder(
      |          ~~~~~~~~~~~~~~~~~~~~~~~^
  531 |       [](auto&& x_ref, auto&& row_idx_inner, auto&& col_idx_inner) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  532 |         using vec_map = Eigen::Map<const Eigen::Array<int, -1, 1>>;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  533 |         return x_ref(
      |         ~~~~~~~~~~~~~            
  534 |             (vec_map(row_idx_inner.ns_.data(), row_idx_inner.ns_.size()) - 1),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |             (vec_map(col_idx_inner.ns_.data(), col_idx_inner.ns_.size()) - 1));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |       },
      |       ~~                         
  537 |       stan::math::to_ref(std::forward<EigMat>(x)),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |       std::forward<RowMultiIndex>(row_idx),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |       std::forward<ColMultiIndex>(col_idx));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = const std::vector<Eigen::Matrix<double, -1, -1> >; Idxs = {index_multi, index_multi}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:16584:32:   required from here
16584 |             stan::model::rvalue(cov_w, "cov_w", stan::model::index_uni(g),
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
16585 |               stan::model::index_multi(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~
16586 |                 stan::model::rvalue(between_idx, "between_idx",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
16587 |                   stan::model::index_min_max((N_between + 1), p_tilde))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
16588 |               stan::model::index_multi(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~
16589 |                 stan::model::rvalue(between_idx, "between_idx",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
16590 |                   stan::model::index_min_max((N_between + 1), p_tilde)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp: In instantiation of ‘auto stan::model::rvalue(EigMat&&, const char*, RowMultiIndex&&, ColMultiIndex&&) [with EigMat = const Eigen::Matrix<double, -1, -1>&; RowMultiIndex = index_multi; ColMultiIndex = index_multi; stan::require_eigen_dense_dynamic_t<M>* <anonymous> = 0; stan::require_same_t<MultiIndex, index_multi>* <anonymous> = 0; stan::require_same_t<ColMultiIndex, index_multi>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = const std::vector<Eigen::Matrix<double, -1, -1> >; Idxs = {index_multi, index_multi}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:16584:32:   required from here
16584 |             stan::model::rvalue(cov_w, "cov_w", stan::model::index_uni(g),
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
16585 |               stan::model::index_multi(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~
16586 |                 stan::model::rvalue(between_idx, "between_idx",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
16587 |                   stan::model::index_min_max((N_between + 1), p_tilde))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
16588 |               stan::model::index_multi(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~
16589 |                 stan::model::rvalue(between_idx, "between_idx",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
16590 |                   stan::model::index_min_max((N_between + 1), p_tilde)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:520:22: warning: unused variable ‘rows’ [-Wunused-variable]
  520 |   const Eigen::Index rows = row_idx.ns_.size();
      |                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:521:22: warning: unused variable ‘cols’ [-Wunused-variable]
  521 |   const Eigen::Index cols = col_idx.ns_.size();
      |                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:193:21:   required from ‘auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_not_std_vector_t<T_y>* <anonymous> = 0]’
  193 |     return v.segment(slice_start, slice_size);
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:17290:53:   required from here
17290 |                                  stan::model::rvalue(log_lik_x, "log_lik_x",
      |                                  ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
17291 |                                    stan::model::index_min_max(r3, r4)))));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12:   required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_stan_scalar_t<T1>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_all_not_complex_t<Scal, typename stan::value_type<S, void>::type>* <anonymous> = 0]’
   84 |   return c * m;
      |          ~~^~~
stanExports_stanmarg.h:17334:56:   required from here
17334 |                                    stan::math::multiply(
      |                                    ~~~~~~~~~~~~~~~~~~~~^
17335 |                                      static_cast<double>(
      |                                      ~~~~~~~~~~~~~~~~~~~~
17336 |                                        (stan::model::rvalue(N, "N",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17337 |                                           stan::model::index_uni(g)) - 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17338 |                                      stan::model::rvalue(Sstar, "Sstar",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17339 |                                        stan::model::index_uni(g),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~
17340 |                                        stan::model::index_multi(xvars),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17341 |                                        stan::model::index_multi(xvars))),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:193:21:   required from ‘auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = const Eigen::Matrix<double, -1, 1>&; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_not_std_vector_t<T_y>* <anonymous> = 0]’
  193 |     return v.segment(slice_start, slice_size);
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = const std::vector<Eigen::Matrix<double, -1, 1> >; Idxs = {index_min_max}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:17508:55:   required from here
17508 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
17509 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17510 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17511 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17512 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:383:19:   required from ‘auto stan::model::rvalue(Mat&&, const char*, index_min_max, index_min_max) [with Mat = const Eigen::Matrix<double, -1, -1>&; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
  383 |     return x.block(row_idx.min_ - 1, col_idx.min_ - 1,
      |            ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  384 |                    row_idx.max_ - (row_idx.min_ - 1),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  385 |                    col_idx.max_ - (col_idx.min_ - 1));
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = const std::vector<Eigen::Matrix<double, -1, -1> >; Idxs = {index_min_max, index_min_max}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:17513:55:   required from here
17513 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
17514 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17515 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17516 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17517 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17518 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17519 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17520 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:168:21:   required from ‘stan::model::rvalue<const Eigen::Matrix<double, -1, 1>&, index_multi>(const Eigen::Matrix<double, -1, 1>&, const char*, index_multi&&)::<lambda(auto:924&&, auto:925&&)> [with auto:924 = const Eigen::Matrix<double, -1, 1>&; auto:925 = stan::model::index_multi]’
  168 |         return std::forward<decltype(v_ref)>(v_ref)(idx2 - 1);
      |                ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::model::rvalue<const Eigen::Matrix<double, -1, 1>&, index_multi>(const Eigen::Matrix<double, -1, 1>&, const char*, index_multi&&)::<lambda(auto:924&&, auto:925&&)>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>&, stan::model::index_multi&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::model::rvalue<const Eigen::Matrix<double, -1, 1>&, index_multi>(const Eigen::Matrix<double, -1, 1>&, const char*, index_multi&&)::<lambda(auto:924&&, auto:925&&)>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>&, stan::model::index_multi&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::model::rvalue<const Eigen::Matrix<double, -1, 1>&, index_multi>(const Eigen::Matrix<double, -1, 1>&, const char*, index_multi&&)::<lambda(auto:924&&, auto:925&&)>; Args = {const Eigen::Matrix<double, -1, 1, 0, -1, 1>&, stan::model::index_multi}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:164:33:   required from ‘auto stan::model::rvalue(EigVec&&, const char*, MultiIndex&&) [with EigVec = const Eigen::Matrix<double, -1, 1>&; MultiIndex = index_multi; stan::require_eigen_vector_t<C>* <anonymous> = 0; stan::require_same_t<MultiIndex, index_multi>* <anonymous> = 0]’
  164 |   return stan::math::make_holder(
      |          ~~~~~~~~~~~~~~~~~~~~~~~^
  165 |       [](auto&& v_ref, auto&& idx_inner) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  166 |         Eigen::Map<const Eigen::Array<int, -1, 1>> idx2(idx_inner.ns_.data(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  167 |                                                         idx_inner.ns_.size());
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~
  168 |         return std::forward<decltype(v_ref)>(v_ref)(idx2 - 1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  169 |       },
      |       ~~                         
  170 |       std::forward<fwd_t>(stan::math::to_ref(std::forward<EigVec>(v))),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  171 |       std::forward<MultiIndex>(idx));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = const std::vector<Eigen::Matrix<double, -1, 1> >; Idxs = {index_multi}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:17548:44:   required from here
17548 |                         stan::model::rvalue(YXbarstar, "YXbarstar",
      |                         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
17549 |                           stan::model::index_uni(mm),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17550 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
17551 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17552 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17553 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17554 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:148:7:   required from ‘class stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>’
  148 | class Holder
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:398:16:   required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence<Is ...>, const std::tuple<Args* ...>&) [with T = Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>; long unsigned int ...Is = {0}; Args = {stan::model::index_multi}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  398 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:416:43:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::model::rvalue<const Eigen::Matrix<double, -1, 1>&, index_multi>(const Eigen::Matrix<double, -1, 1>&, const char*, index_multi&&)::<lambda(auto:924&&, auto:925&&)>; long unsigned int ...Is = {0, 1}; Args = {const Eigen::Matrix<double, -1, 1, 0, -1, 1>&, stan::model::index_multi}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0, 1>]’
  416 |   return make_holder_impl_construct_object(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  418 |       std::make_index_sequence<std::tuple_size<decltype(ptrs)>::value>(), ptrs);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::model::rvalue<const Eigen::Matrix<double, -1, 1>&, index_multi>(const Eigen::Matrix<double, -1, 1>&, const char*, index_multi&&)::<lambda(auto:924&&, auto:925&&)>; Args = {const Eigen::Matrix<double, -1, 1, 0, -1, 1>&, stan::model::index_multi}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:164:33:   required from ‘auto stan::model::rvalue(EigVec&&, const char*, MultiIndex&&) [with EigVec = const Eigen::Matrix<double, -1, 1>&; MultiIndex = index_multi; stan::require_eigen_vector_t<C>* <anonymous> = 0; stan::require_same_t<MultiIndex, index_multi>* <anonymous> = 0]’
  164 |   return stan::math::make_holder(
      |          ~~~~~~~~~~~~~~~~~~~~~~~^
  165 |       [](auto&& v_ref, auto&& idx_inner) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  166 |         Eigen::Map<const Eigen::Array<int, -1, 1>> idx2(idx_inner.ns_.data(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  167 |                                                         idx_inner.ns_.size());
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~
  168 |         return std::forward<decltype(v_ref)>(v_ref)(idx2 - 1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  169 |       },
      |       ~~                         
  170 |       std::forward<fwd_t>(stan::math::to_ref(std::forward<EigVec>(v))),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  171 |       std::forward<MultiIndex>(idx));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = const std::vector<Eigen::Matrix<double, -1, 1> >; Idxs = {index_multi}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:17548:44:   required from here
17548 |                         stan::model::rvalue(YXbarstar, "YXbarstar",
      |                         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
17549 |                           stan::model::index_uni(mm),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17550 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
17551 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17552 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17553 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17554 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&, const int&)::<lambda(auto:394&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&, const int&)::<lambda(auto:394&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&, const int&)::<lambda(auto:394&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&, const int&)::<lambda(auto:394&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&, const int&)::<lambda(auto:394&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lb_constrain.hpp:86:26:   required from ‘auto stan::math::lb_constrain(T&&, L&&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; L = const int&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   86 |   return eval(x.unaryExpr([lb](auto&& x) { return lb_constrain(x, lb); }));
      |               ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lb_constrain.hpp:262:24:   required from ‘auto stan::math::lb_constrain(T&&, L&&, Lp&) [with bool Jacobian = false; T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; L = const int&; Lp = double; stan::require_convertible_t<typename stan::return_type<T1, T2>::type, Lp>* <anonymous> = 0]’
  262 |     return lb_constrain(std::forward<T>(x), std::forward<L>(lb));
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:385:46:   required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<double, -1, 1>; bool Jacobian = false; LB = int; LP = double; Sizes = {int}; T = double]’
  385 |     return stan::math::lb_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                                               lp);
      |                                               ~~~
stanExports_stanmarg.h:20463:22:   required from here
20462 |         in__.template read_constrain_lb<Eigen::Matrix<local_scalar_t__,-1,1>,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20463 |           jacobian__>(0, lp__, Theta_sd_free_1dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::lub_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, const int&)::<lambda(auto:409&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::lub_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, const int&)::<lambda(auto:409&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::lub_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, const int&)::<lambda(auto:409&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::lub_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, const int&)::<lambda(auto:409&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::lub_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, const int&)::<lambda(auto:409&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_constrain.hpp:124:18:   required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0; stan::require_not_var_t<typename stan::return_type<T_x, T_sigma, T_l>::type>* <anonymous> = 0]’
  124 |       x.unaryExpr([ub, lb](auto&& xx) { return lub_constrain(xx, lb, ub); }));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_constrain.hpp:406:25:   required from ‘auto stan::math::lub_constrain(T&&, L&&, U&&, Lp&) [with bool Jacobian = false; T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; L = const int&; U = const int&; Lp = double; stan::require_convertible_t<typename stan::return_type<T, L, U>::type, Lp>* <anonymous> = 0]’
  406 |     return lub_constrain(std::forward<T>(x), std::forward<L>(lb),
      |            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  407 |                          std::forward<U>(ub));
      |                          ~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<double, -1, 1>; bool Jacobian = false; LB = int; UB = int; LP = double; Sizes = {int}; T = double]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:20492:60:   required from here
20491 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
20492 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
20493 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_stanmarg.h:21098:28:   required from here
21098 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~^
21099 |               stan::model::rvalue(T_r_lower, "T_r_lower",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21100 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21101 |               stan::math::transpose(
      |               ~~~~~~~~~~~~~~~~~~~~~~
21102 |                 stan::model::rvalue(T_r_lower, "T_r_lower",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21103 |                   stan::model::index_uni(g)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13:   required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Mat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 - m2;
      |          ~~~^~~~
stanExports_stanmarg.h:21097:31:   required from here
21097 |           stan::math::subtract(
      |           ~~~~~~~~~~~~~~~~~~~~^
21098 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~~   
21099 |               stan::model::rvalue(T_r_lower, "T_r_lower",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21100 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21101 |               stan::math::transpose(
      |               ~~~~~~~~~~~~~~~~~~~~~~
21102 |                 stan::model::rvalue(T_r_lower, "T_r_lower",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21103 |                   stan::model::index_uni(g)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21104 |             stan::math::diag_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
21105 |               stan::math::rep_vector(static_cast<double>(1), p))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13:   required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 - m2;
      |          ~~~^~~~
stanExports_stanmarg.h:21336:35:   required from here
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~^~~
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, -1, 1, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_stanmarg.h:21377:30:   required from here
21377 |               stan::math::add(
      |               ~~~~~~~~~~~~~~~^
21378 |                 stan::model::deep_copy(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
21379 |                   stan::model::rvalue(Sigma, "Sigma",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21380 |                     stan::model::index_uni(g),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~
21381 |                     stan::model::index_min_max(1, p),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21382 |                     stan::model::index_min_max(1, p))),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:193:21:   required from ‘auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = Eigen::Matrix<double, -1, 1>&; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_not_std_vector_t<T_y>* <anonymous> = 0]’
  193 |     return v.segment(slice_start, slice_size);
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = std::vector<Eigen::Matrix<double, -1, 1> >; Idxs = {index_min_max}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21397:40:   required from here
21397 |                     stan::model::rvalue(Mu, "Mu", stan::model::index_uni(g),
      |                     ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21398 |                       stan::model::index_min_max(1, p))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13:   required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]’
  107 |   return m1 * m2;
      |          ~~~^~~~
stanExports_stanmarg.h:21400:41:   required from here
21400 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~^
21401 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21402 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21403 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21404 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
21405 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21406 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:168:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  168 |         return std::forward<decltype(v_ref)>(v_ref)(idx2 - 1);
      |                ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::model::rvalue<Eigen::Matrix<double, -1, 1>&, index_multi>(Eigen::Matrix<double, -1, 1>&, const char*, index_multi&&)::<lambda(auto:924&&, auto:925&&)>, Eigen::Matrix<double, -1, 1, 0, -1, 1>&, stan::model::index_multi&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::model::rvalue<Eigen::Matrix<double, -1, 1>&, index_multi>(Eigen::Matrix<double, -1, 1>&, const char*, index_multi&&)::<lambda(auto:924&&, auto:925&&)>, Eigen::Matrix<double, -1, 1, 0, -1, 1>&, stan::model::index_multi&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::model::rvalue<Eigen::Matrix<double, -1, 1>&, index_multi>(Eigen::Matrix<double, -1, 1>&, const char*, index_multi&&)::<lambda(auto:924&&, auto:925&&)>; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>&, stan::model::index_multi}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:164:33:   required from ‘auto stan::model::rvalue(EigVec&&, const char*, MultiIndex&&) [with EigVec = Eigen::Matrix<double, -1, 1>&; MultiIndex = index_multi; stan::require_eigen_vector_t<C>* <anonymous> = 0; stan::require_same_t<MultiIndex, index_multi>* <anonymous> = 0]’
  164 |   return stan::math::make_holder(
      |          ~~~~~~~~~~~~~~~~~~~~~~~^
  165 |       [](auto&& v_ref, auto&& idx_inner) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  166 |         Eigen::Map<const Eigen::Array<int, -1, 1>> idx2(idx_inner.ns_.data(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  167 |                                                         idx_inner.ns_.size());
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~
  168 |         return std::forward<decltype(v_ref)>(v_ref)(idx2 - 1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  169 |       },
      |       ~~                         
  170 |       std::forward<fwd_t>(stan::math::to_ref(std::forward<EigVec>(v))),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  171 |       std::forward<MultiIndex>(idx));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = std::vector<Eigen::Matrix<double, -1, 1> >; Idxs = {index_multi}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:22980:57:   required from here
22980 |                                      stan::model::rvalue(Mu, "Mu",
      |                                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
22981 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22982 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~
22983 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
22984 |                                            "obsidx",
      |                                            ~~~~~~~~~     
22985 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22986 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~
22987 |                                                "Nobs",
      |                                                ~~~~~~~   
22988 |                                                stan::model::index_uni(mm)))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:148:7:   required from ‘class stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>’
  148 | class Holder
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:398:16:   required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence<Is ...>, const std::tuple<Args* ...>&) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>; long unsigned int ...Is = {0}; Args = {stan::model::index_multi}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  398 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:416:43:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::model::rvalue<Eigen::Matrix<double, -1, 1>&, index_multi>(Eigen::Matrix<double, -1, 1>&, const char*, index_multi&&)::<lambda(auto:924&&, auto:925&&)>; long unsigned int ...Is = {0, 1}; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>&, stan::model::index_multi}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0, 1>]’
  416 |   return make_holder_impl_construct_object(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  418 |       std::make_index_sequence<std::tuple_size<decltype(ptrs)>::value>(), ptrs);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::model::rvalue<Eigen::Matrix<double, -1, 1>&, index_multi>(Eigen::Matrix<double, -1, 1>&, const char*, index_multi&&)::<lambda(auto:924&&, auto:925&&)>; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>&, stan::model::index_multi}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:164:33:   required from ‘auto stan::model::rvalue(EigVec&&, const char*, MultiIndex&&) [with EigVec = Eigen::Matrix<double, -1, 1>&; MultiIndex = index_multi; stan::require_eigen_vector_t<C>* <anonymous> = 0; stan::require_same_t<MultiIndex, index_multi>* <anonymous> = 0]’
  164 |   return stan::math::make_holder(
      |          ~~~~~~~~~~~~~~~~~~~~~~~^
  165 |       [](auto&& v_ref, auto&& idx_inner) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  166 |         Eigen::Map<const Eigen::Array<int, -1, 1>> idx2(idx_inner.ns_.data(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  167 |                                                         idx_inner.ns_.size());
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~
  168 |         return std::forward<decltype(v_ref)>(v_ref)(idx2 - 1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  169 |       },
      |       ~~                         
  170 |       std::forward<fwd_t>(stan::math::to_ref(std::forward<EigVec>(v))),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  171 |       std::forward<MultiIndex>(idx));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = std::vector<Eigen::Matrix<double, -1, 1> >; Idxs = {index_multi}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:22980:57:   required from here
22980 |                                      stan::model::rvalue(Mu, "Mu",
      |                                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
22981 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22982 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~
22983 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
22984 |                                            "obsidx",
      |                                            ~~~~~~~~~     
22985 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22986 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~
22987 |                                                "Nobs",
      |                                                ~~~~~~~   
22988 |                                                stan::model::index_uni(mm)))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   57 |   return make_holder([](auto&& x) { return x.array(); }, std::forward<T>(v));
      |                                            ~~~~~~~^~
/usr/include/c++/16/type_traits:2901:60:   required from ‘struct std::__result_of_impl<false, false, stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>&&, double&&>’
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>&&, double&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>&&, double&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>, double}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23045:56:   required from here
23045 |                                      stan::math::divide(
      |                                      ~~~~~~~~~~~~~~~~~~^
23046 |                                        stan::model::rvalue(satout, "satout",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23047 |                                          stan::model::index_uni(g),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~
23048 |                                          stan::model::index_omni(),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~
23049 |                                          stan::model::index_uni(1)),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23050 |                                        static_cast<double>(
      |                                        ~~~~~~~~~~~~~~~~~~~~
23051 |                                          stan::model::rvalue(N, "N",
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23052 |                                            stan::model::index_uni(g)))),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:50:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   required from ‘struct std::__result_of_impl<false, false, stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>&&, double&&>’
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>&&, double&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>&&, double&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>, double}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23045:56:   required from here
23045 |                                      stan::math::divide(
      |                                      ~~~~~~~~~~~~~~~~~~^
23046 |                                        stan::model::rvalue(satout, "satout",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23047 |                                          stan::model::index_uni(g),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~
23048 |                                          stan::model::index_omni(),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~
23049 |                                          stan::model::index_uni(1)),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23050 |                                        static_cast<double>(
      |                                        ~~~~~~~~~~~~~~~~~~~~
23051 |                                          stan::model::rvalue(N, "N",
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23052 |                                            stan::model::index_uni(g)))),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:51:20:   required from ‘stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)> [with auto:272 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; auto:273 = double]’
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; _Args = {Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>&&, double&&}]’
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   required from ‘struct std::__result_of_impl<false, false, stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>&&, double&&>’
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>&&, double&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>&&, double&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>, double}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23045:56:   required from here
23045 |                                      stan::math::divide(
      |                                      ~~~~~~~~~~~~~~~~~~^
23046 |                                        stan::model::rvalue(satout, "satout",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23047 |                                          stan::model::index_uni(g),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~
23048 |                                          stan::model::index_omni(),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~
23049 |                                          stan::model::index_uni(1)),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23050 |                                        static_cast<double>(
      |                                        ~~~~~~~~~~~~~~~~~~~~
23051 |                                          stan::model::rvalue(N, "N",
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23052 |                                            stan::model::index_uni(g)))),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:148:7:   required from ‘class stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>’
  148 | class Holder
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:398:16:   required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence<Is ...>, const std::tuple<Args* ...>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; long unsigned int ...Is = {0}; Args = {double}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  398 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:416:43:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; long unsigned int ...Is = {0, 1}; Args = {Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>, double}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0, 1>]’
  416 |   return make_holder_impl_construct_object(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  418 |       std::make_index_sequence<std::tuple_size<decltype(ptrs)>::value>(), ptrs);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>, double}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23045:56:   required from here
23045 |                                      stan::math::divide(
      |                                      ~~~~~~~~~~~~~~~~~~^
23046 |                                        stan::model::rvalue(satout, "satout",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23047 |                                          stan::model::index_uni(g),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~
23048 |                                          stan::model::index_omni(),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~
23049 |                                          stan::model::index_uni(1)),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23050 |                                        static_cast<double>(
      |                                        ~~~~~~~~~~~~~~~~~~~~
23051 |                                          stan::model::rvalue(N, "N",
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23052 |                                            stan::model::index_uni(g)))),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:697:31:   required from ‘auto stan::model::rvalue(Mat&&, const char*, Idx&&, index_min_max) [with Mat = Eigen::Matrix<double, -1, -1>&; Idx = index_omni; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
  697 |     return rvalue(x.middleCols(col_start, col_idx.max_ - col_start), name,
      |                   ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; Idxs = {index_omni, index_min_max}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23059:61:   required from here
23059 |                                          stan::model::rvalue(satout,
      |                                          ~~~~~~~~~~~~~~~~~~~^~~~~~~~
23060 |                                            "satout",
      |                                            ~~~~~~~~~         
23061 |                                            stan::model::index_uni(g),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
23062 |                                            stan::model::index_omni(),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
23063 |                                            stan::model::index_min_max(2, ((p
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23064 |                                              + q) + 1))),
      |                                              ~~~~~~~~~~~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   57 |   return make_holder([](auto&& x) { return x.array(); }, std::forward<T>(v));
      |                                            ~~~~~~~^~
/usr/include/c++/16/type_traits:2901:60:   required from ‘struct std::__result_of_impl<false, false, stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>&&, double&&>’
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>&&, double&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>&&, double&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>, double}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23058:58:   required from here
23058 |                                        stan::math::divide(
      |                                        ~~~~~~~~~~~~~~~~~~^
23059 |                                          stan::model::rvalue(satout,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23060 |                                            "satout",
      |                                            ~~~~~~~~~      
23061 |                                            stan::model::index_uni(g),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
23062 |                                            stan::model::index_omni(),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
23063 |                                            stan::model::index_min_max(2, ((p
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23064 |                                              + q) + 1))),
      |                                              ~~~~~~~~~~~~ 
23065 |                                          static_cast<double>(
      |                                          ~~~~~~~~~~~~~~~~~~~~
23066 |                                            stan::model::rvalue(N, "N",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23067 |                                              stan::model::index_uni(g)))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   required from ‘struct std::__result_of_impl<false, false, stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>&&, double&&>’
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>&&, double&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>&&, double&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>, double}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23058:58:   required from here
23058 |                                        stan::math::divide(
      |                                        ~~~~~~~~~~~~~~~~~~^
23059 |                                          stan::model::rvalue(satout,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23060 |                                            "satout",
      |                                            ~~~~~~~~~      
23061 |                                            stan::model::index_uni(g),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
23062 |                                            stan::model::index_omni(),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
23063 |                                            stan::model::index_min_max(2, ((p
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23064 |                                              + q) + 1))),
      |                                              ~~~~~~~~~~~~ 
23065 |                                          static_cast<double>(
      |                                          ~~~~~~~~~~~~~~~~~~~~
23066 |                                            stan::model::rvalue(N, "N",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23067 |                                              stan::model::index_uni(g)))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:50:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   required from ‘struct std::__result_of_impl<false, false, stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>&&, double&&>’
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>&&, double&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>&&, double&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>, double}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23058:58:   required from here
23058 |                                        stan::math::divide(
      |                                        ~~~~~~~~~~~~~~~~~~^
23059 |                                          stan::model::rvalue(satout,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23060 |                                            "satout",
      |                                            ~~~~~~~~~      
23061 |                                            stan::model::index_uni(g),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
23062 |                                            stan::model::index_omni(),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
23063 |                                            stan::model::index_min_max(2, ((p
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23064 |                                              + q) + 1))),
      |                                              ~~~~~~~~~~~~ 
23065 |                                          static_cast<double>(
      |                                          ~~~~~~~~~~~~~~~~~~~~
23066 |                                            stan::model::rvalue(N, "N",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23067 |                                              stan::model::index_uni(g)))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:51:20:   required from ‘stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)> [with auto:272 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; auto:273 = double]’
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; _Args = {Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>&&, double&&}]’
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   required from ‘struct std::__result_of_impl<false, false, stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>&&, double&&>’
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>&&, double&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>&&, double&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>, double}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23058:58:   required from here
23058 |                                        stan::math::divide(
      |                                        ~~~~~~~~~~~~~~~~~~^
23059 |                                          stan::model::rvalue(satout,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23060 |                                            "satout",
      |                                            ~~~~~~~~~      
23061 |                                            stan::model::index_uni(g),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
23062 |                                            stan::model::index_omni(),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
23063 |                                            stan::model::index_min_max(2, ((p
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23064 |                                              + q) + 1))),
      |                                              ~~~~~~~~~~~~ 
23065 |                                          static_cast<double>(
      |                                          ~~~~~~~~~~~~~~~~~~~~
23066 |                                            stan::model::rvalue(N, "N",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23067 |                                              stan::model::index_uni(g)))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:416:43:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; long unsigned int ...Is = {0, 1}; Args = {Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>, double}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0, 1>]’
  416 |   return make_holder_impl_construct_object(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  418 |       std::make_index_sequence<std::tuple_size<decltype(ptrs)>::value>(), ptrs);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>, double}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23058:58:   required from here
23058 |                                        stan::math::divide(
      |                                        ~~~~~~~~~~~~~~~~~~^
23059 |                                          stan::model::rvalue(satout,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23060 |                                            "satout",
      |                                            ~~~~~~~~~      
23061 |                                            stan::model::index_uni(g),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
23062 |                                            stan::model::index_omni(),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
23063 |                                            stan::model::index_min_max(2, ((p
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23064 |                                              + q) + 1))),
      |                                              ~~~~~~~~~~~~ 
23065 |                                          static_cast<double>(
      |                                          ~~~~~~~~~~~~~~~~~~~~
23066 |                                            stan::model::rvalue(N, "N",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23067 |                                              stan::model::index_uni(g)))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, double>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, double> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, double> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:148:7:   required from ‘class stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, double>’
  148 | class Holder
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:398:16:   required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence<Is ...>, const std::tuple<Args* ...>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >; long unsigned int ...Is = {0}; Args = {double}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  398 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:416:43:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::math::divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; long unsigned int ...Is = {0, 1}; Args = {Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>, double}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0, 1>]’
  416 |   return make_holder_impl_construct_object(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  418 |       std::make_index_sequence<std::tuple_size<decltype(ptrs)>::value>(), ptrs);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = divide<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, double>(Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, true>, double}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23058:58:   required from here
23058 |                                        stan::math::divide(
      |                                        ~~~~~~~~~~~~~~~~~~^
23059 |                                          stan::model::rvalue(satout,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23060 |                                            "satout",
      |                                            ~~~~~~~~~      
23061 |                                            stan::model::index_uni(g),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
23062 |                                            stan::model::index_omni(),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
23063 |                                            stan::model::index_min_max(2, ((p
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23064 |                                              + q) + 1))),
      |                                              ~~~~~~~~~~~~ 
23065 |                                          static_cast<double>(
      |                                          ~~~~~~~~~~~~~~~~~~~~
23066 |                                            stan::model::rvalue(N, "N",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23067 |                                              stan::model::index_uni(g)))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13:   required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, 1>; Mat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]’
  107 |   return m1 * m2;
      |          ~~~^~~~
stanExports_stanmarg.h:23068:60:   required from here
23068 |                                        stan::math::multiply(
      |                                        ~~~~~~~~~~~~~~~~~~~~^
23069 |                                          stan::model::rvalue(Mu_sat,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23070 |                                            "Mu_sat",
      |                                            ~~~~~~~~~        
23071 |                                            stan::model::index_uni(g)),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23072 |                                          stan::math::transpose(
      |                                          ~~~~~~~~~~~~~~~~~~~~~~
23073 |                                            stan::model::rvalue(Mu_sat,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23074 |                                              "Mu_sat",
      |                                              ~~~~~~~~~      
23075 |                                              stan::model::index_uni(g))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13:   required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, double>; Mat2 = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 - m2;
      |          ~~~^~~~
stanExports_stanmarg.h:23057:58:   required from here
23057 |                                      stan::math::subtract(
      |                                      ~~~~~~~~~~~~~~~~~~~~^
23058 |                                        stan::math::divide(
      |                                        ~~~~~~~~~~~~~~~~~~~
23059 |                                          stan::model::rvalue(satout,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23060 |                                            "satout",
      |                                            ~~~~~~~~~      
23061 |                                            stan::model::index_uni(g),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
23062 |                                            stan::model::index_omni(),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
23063 |                                            stan::model::index_min_max(2, ((p
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23064 |                                              + q) + 1))),
      |                                              ~~~~~~~~~~~~ 
23065 |                                          static_cast<double>(
      |                                          ~~~~~~~~~~~~~~~~~~~~
23066 |                                            stan::model::rvalue(N, "N",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23067 |                                              stan::model::index_uni(g)))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23068 |                                        stan::math::multiply(
      |                                        ~~~~~~~~~~~~~~~~~~~~~
23069 |                                          stan::model::rvalue(Mu_sat,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23070 |                                            "Mu_sat",
      |                                            ~~~~~~~~~      
23071 |                                            stan::model::index_uni(g)),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23072 |                                          stan::math::transpose(
      |                                          ~~~~~~~~~~~~~~~~~~~~~~
23073 |                                            stan::model::rvalue(Mu_sat,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23074 |                                              "Mu_sat",
      |                                              ~~~~~~~~~    
23075 |                                              stan::model::index_uni(g))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/transpose.hpp:18:21:   required from ‘auto stan::math::transpose(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; stan::require_matrix_t<T>* <anonymous> = 0]’
   18 |   return m.transpose();
      |          ~~~~~~~~~~~^~
stanExports_stanmarg.h:23208:59:   required from here
23208 |                                      stan::math::transpose(
      |                                      ~~~~~~~~~~~~~~~~~~~~~^
23209 |                                        stan::math::subtract(
      |                                        ~~~~~~~~~~~~~~~~~~~~~
23210 |                                          stan::model::rvalue(YXstar,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23211 |                                            "YXstar",
      |                                            ~~~~~~~~~       
23212 |                                            stan::model::index_uni(jj)),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23213 |                                          stan::model::rvalue(Mu_sat,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23214 |                                            "Mu_sat",
      |                                            ~~~~~~~~~       
23215 |                                            stan::model::index_uni(grpidx)))),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<stan::math::Holder<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 0, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<stan::math::Holder<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 0, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:148:7:   required from ‘class stan::math::Holder<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 0, -1, -1> >’
  148 | class Holder
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:398:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  398 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   required from ‘struct std::__result_of_impl<false, false, stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Matrix<double, -1, -1, 0, -1, -1>&&, double&&>’
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Matrix<double, -1, -1, 0, -1, -1>&&, double&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Matrix<double, -1, -1, 0, -1, -1>&&, double&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, double}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23233:54:   required from here
23233 |                                    stan::math::divide(
      |                                    ~~~~~~~~~~~~~~~~~~^
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23235 |                                      static_cast<double>(
      |                                      ~~~~~~~~~~~~~~~~~~~~
23236 |                                        stan::model::rvalue(N, "N",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23237 |                                          stan::model::index_uni(grpidx)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const stan::math::Holder<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 0, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const stan::math::Holder<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 0, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const stan::math::Holder<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 0, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const stan::math::Holder<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 0, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const stan::math::Holder<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 0, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:50:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   required from ‘struct std::__result_of_impl<false, false, stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Matrix<double, -1, -1, 0, -1, -1>&&, double&&>’
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Matrix<double, -1, -1, 0, -1, -1>&&, double&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Matrix<double, -1, -1, 0, -1, -1>&&, double&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, double}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23233:54:   required from here
23233 |                                    stan::math::divide(
      |                                    ~~~~~~~~~~~~~~~~~~^
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23235 |                                      static_cast<double>(
      |                                      ~~~~~~~~~~~~~~~~~~~~
23236 |                                        stan::model::rvalue(N, "N",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23237 |                                          stan::model::index_uni(grpidx)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const stan::math::Holder<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 0, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const stan::math::Holder<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 0, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const stan::math::Holder<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 0, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const stan::math::Holder<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1, 0, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:51:20:   required from ‘stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)> [with auto:272 = Eigen::Matrix<double, -1, -1>; auto:273 = double]’
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; _Args = {Eigen::Matrix<double, -1, -1, 0, -1, -1>&&, double&&}]’
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   required from ‘struct std::__result_of_impl<false, false, stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Matrix<double, -1, -1, 0, -1, -1>&&, double&&>’
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Matrix<double, -1, -1, 0, -1, -1>&&, double&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>, Eigen::Matrix<double, -1, -1, 0, -1, -1>&&, double&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, double}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23233:54:   required from here
23233 |                                    stan::math::divide(
      |                                    ~~~~~~~~~~~~~~~~~~^
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23235 |                                      static_cast<double>(
      |                                      ~~~~~~~~~~~~~~~~~~~~
23236 |                                        stan::model::rvalue(N, "N",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23237 |                                          stan::model::index_uni(grpidx)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:50:17:   required from ‘stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)> [with auto:272 = Eigen::Matrix<double, -1, -1>&; auto:273 = double&]’
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:417:28:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; long unsigned int ...Is = {0, 1}; Args = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, double}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0, 1>]’
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, double}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23233:54:   required from here
23233 |                                    stan::math::divide(
      |                                    ~~~~~~~~~~~~~~~~~~^
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23235 |                                      static_cast<double>(
      |                                      ~~~~~~~~~~~~~~~~~~~~
23236 |                                        stan::model::rvalue(N, "N",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23237 |                                          stan::model::index_uni(grpidx)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:51:20:   required from ‘stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)> [with auto:272 = Eigen::Matrix<double, -1, -1>&; auto:273 = double&]’
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:417:28:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; long unsigned int ...Is = {0, 1}; Args = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, double}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0, 1>]’
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, double}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23233:54:   required from here
23233 |                                    stan::math::divide(
      |                                    ~~~~~~~~~~~~~~~~~~^
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23235 |                                      static_cast<double>(
      |                                      ~~~~~~~~~~~~~~~~~~~~
23236 |                                        stan::model::rvalue(N, "N",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23237 |                                          stan::model::index_uni(grpidx)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, Eigen::Matrix<double, -1, -1, 0, -1, -1>, double>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, Eigen::Matrix<double, -1, -1, 0, -1, -1>, double> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, Eigen::Matrix<double, -1, -1, 0, -1, -1>, double> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:148:7:   required from ‘class stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, Eigen::Matrix<double, -1, -1, 0, -1, -1>, double>’
  148 | class Holder
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:398:16:   required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence<Is ...>, const std::tuple<Args* ...>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >; long unsigned int ...Is = {0, 1}; Args = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, double}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0, 1>]’
  398 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:416:43:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::math::divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; long unsigned int ...Is = {0, 1}; Args = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, double}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0, 1>]’
  416 |   return make_holder_impl_construct_object(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  418 |       std::make_index_sequence<std::tuple_size<decltype(ptrs)>::value>(), ptrs);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = divide<Eigen::Matrix<double, -1, -1>, double>(Eigen::Matrix<double, -1, -1>&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, double}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23233:54:   required from here
23233 |                                    stan::math::divide(
      |                                    ~~~~~~~~~~~~~~~~~~^
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23235 |                                      static_cast<double>(
      |                                      ~~~~~~~~~~~~~~~~~~~~
23236 |                                        stan::model::rvalue(N, "N",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23237 |                                          stan::model::index_uni(grpidx)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13:   required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, 1>; Mat2 = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 - m2;
      |          ~~~^~~~
stanExports_stanmarg.h:23538:39:   required from here
23538 |                   stan::math::subtract(
      |                   ~~~~~~~~~~~~~~~~~~~~^
23539 |                     stan::model::deep_copy(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~
23540 |                       stan::model::rvalue(log_lik, "log_lik",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23541 |                         stan::model::index_min_max(r1, r2))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23542 |                     stan::model::rvalue(log_lik_x_full, "log_lik_x_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23543 |                       stan::model::index_min_max(r1, r2))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12:   required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_stan_scalar_t<T1>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_all_not_complex_t<Scal, typename stan::value_type<S, void>::type>* <anonymous> = 0]’
   84 |   return c * m;
      |          ~~^~~
stanExports_stanmarg.h:23766:43:   required from here
23766 |                       stan::math::multiply(
      |                       ~~~~~~~~~~~~~~~~~~~~^
23767 |                         stan::math::pow(
      |                         ~~~~~~~~~~~~~~~~   
23768 |                           (stan::model::rvalue(N, "N",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23769 |                              stan::model::index_uni(mm)) - 1), -(1)),
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23770 |                         stan::model::rvalue(Sigma_rep_sat, "Sigma_rep_sat",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23771 |                           stan::model::index_uni(mm),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23772 |                           stan::model::index_multi(xvars),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23773 |                           stan::model::index_multi(xvars)))))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13:   required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, 1>; Mat2 = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 - m2;
      |          ~~~^~~~
stanExports_stanmarg.h:24874:54:   required from here
24874 |                                  stan::math::subtract(
      |                                  ~~~~~~~~~~~~~~~~~~~~^
24875 |                                    stan::model::deep_copy(
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~
24876 |                                      stan::model::rvalue(log_lik_sat,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
24877 |                                        "log_lik_sat",
      |                                        ~~~~~~~~~~~~~~ 
24878 |                                        stan::model::index_min_max(r1, r2))),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
24879 |                                    stan::model::rvalue(log_lik, "log_lik",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
24880 |                                      stan::model::index_min_max(r1, r2))),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In instantiation of ‘Eigen::Matrix<Type, -1, -1> stan::math::internal::combos(int, Scalar, int) [with Scalar = double]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:194:21:   required from here
  194 |   points[0] = combos(1, std::sqrt(9.0 * 1.0 / 70.0), dim);
      |               ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:108:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare]
  108 |   for (size_t i = 0; i < choose_dimk; i++) {
      |                      ~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:110:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare]
  110 |     for (size_t j = 0; j < k; j++) {
      |                        ~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:141:17:   required from ‘Eigen::Matrix<Type, -1, -1> stan::math::internal::signcombos(int, Scalar, int) [with Scalar = double]’
  141 |     p(c.array() - 1.0, current_col).setConstant(lambda);
      |       ~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:197:25:   required from here
  197 |   points[2] = signcombos(2, l3, dim);
      |               ~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::internal::SingleRange>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:141:6:   required from ‘Eigen::Matrix<Type, -1, -1> stan::math::internal::signcombos(int, Scalar, int) [with Scalar = double]’
  141 |     p(c.array() - 1.0, current_col).setConstant(lambda);
      |     ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:197:25:   required from here
  197 |   points[2] = signcombos(2, l3, dim);
      |               ~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In instantiation of ‘Eigen::Matrix<Type, -1, -1> stan::math::internal::signcombos(int, Scalar, int) [with Scalar = double]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:197:25:   required from here
  197 |   points[2] = signcombos(2, l3, dim);
      |               ~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:149:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  149 |       if (first_zero == index_size) {
      |           ~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:151:10:   required from ‘Eigen::Matrix<Type, -1, -1> stan::math::internal::signcombos(int, Scalar, int) [with Scalar = double]’
  151 |         p(c.segment(0, index.size()).array() - 1, current_col).array() *= -1;
      |         ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:197:25:   required from here
  197 |   points[2] = signcombos(2, l3, dim);
      |               ~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:151:69:   required from ‘Eigen::Matrix<Type, -1, -1> stan::math::internal::signcombos(int, Scalar, int) [with Scalar = double]’
  151 |         p(c.segment(0, index.size()).array() - 1, current_col).array() *= -1;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:197:25:   required from here
  197 |   points[2] = signcombos(2, l3, dim);
      |               ~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |                    ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 3>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 3, 1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 3, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 3, 1>’
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:26:41:   required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = Eigen::Matrix<double, -1, 1>; Tb = Eigen::Matrix<double, -1, 1>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
   26 |   Eigen::Array<scalar_type_t<Ta>, 3, 1> a_array = as_array_or_scalar(a);
      |                                         ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:128:47:   required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
  128 |     return internal::hypergeometric_3F2_infsum(a_ref, b_ref, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:154:28:   required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
  154 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:80:37:   required from here
   80 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
      |                   ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 3, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 3, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 3, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 3, 1>’
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:26:41:   required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = Eigen::Matrix<double, -1, 1>; Tb = Eigen::Matrix<double, -1, 1>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
   26 |   Eigen::Array<scalar_type_t<Ta>, 3, 1> a_array = as_array_or_scalar(a);
      |                                         ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:128:47:   required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
  128 |     return internal::hypergeometric_3F2_infsum(a_ref, b_ref, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:154:28:   required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
  154 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:80:37:   required from here
   80 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
      |                   ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:45:47:   required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = Eigen::Matrix<double, -1, 1>; Tb = Eigen::Matrix<double, -1, 1>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
   45 |     const auto& abs_apk = math::fabs((a_array == 0).select(1.0, a_array));
      |                                      ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:128:47:   required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
  128 |     return internal::hypergeometric_3F2_infsum(a_ref, b_ref, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:154:28:   required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
  154 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:80:37:   required from here
   80 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
      |                   ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from ‘class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >’
   52 | class Select : public internal::dense_xpr_base< Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >::type,
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:45:59:   required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = Eigen::Matrix<double, -1, 1>; Tb = Eigen::Matrix<double, -1, 1>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
   45 |     const auto& abs_apk = math::fabs((a_array == 0).select(1.0, a_array));
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:128:47:   required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
  128 |     return internal::hypergeometric_3F2_infsum(a_ref, b_ref, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:154:28:   required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
  154 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:80:37:   required from here
   80 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
      |                   ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/fabs.hpp:69:70:   required from ‘stan::math::fabs<const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >(const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >&&)::<lambda(auto:19&&)> [with auto:19 = const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >&]’
   69 |       std::forward<Container>(x), [](auto&& v) { return v.array().abs(); });
      |                                                         ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:58:44:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(T2&&, F&&) [with F = stan::math::fabs<const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >(const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >&&)::<lambda(auto:19&&)>; T2 = const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >; stan::require_t<stan::is_eigen_array<typename stan::plain_type<typename std::decay<T2>::type, void>::type> >* <anonymous> = 0; T = const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >]’
   58 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/fabs.hpp:68:46:   required from ‘auto stan::math::fabs(Container&&) [with Container = const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
   68 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |       std::forward<Container>(x), [](auto&& v) { return v.array().abs(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:45:37:   required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = Eigen::Matrix<double, -1, 1>; Tb = Eigen::Matrix<double, -1, 1>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
   45 |     const auto& abs_apk = math::fabs((a_array == 0).select(1.0, a_array));
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:128:47:   required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
  128 |     return internal::hypergeometric_3F2_infsum(a_ref, b_ref, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:154:28:   required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
  154 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:80:37:   required from here
   80 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
      |                   ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:87:70:   required from ‘stan::math::log<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >&>(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >&)::<lambda(auto:51&&)> [with auto:51 = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >&]’
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |                                                         ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:58:44:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(T2&&, F&&) [with F = stan::math::log<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >&>(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >&)::<lambda(auto:51&&)>; T2 = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >&; stan::require_t<stan::is_eigen_array<typename stan::plain_type<typename std::decay<T2>::type, void>::type> >* <anonymous> = 0; T = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >&]’
   58 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:86:46:   required from ‘auto stan::math::log(Container&&) [with Container = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >&; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
   86 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:21:   required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = Eigen::Matrix<double, -1, 1>; Tb = Eigen::Matrix<double, -1, 1>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
   47 |     auto p = sum(log(abs_apk)) - sum(log(abs_bpk));
      |                  ~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:128:47:   required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
  128 |     return internal::hypergeometric_3F2_infsum(a_ref, b_ref, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:154:28:   required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
  154 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:80:37:   required from here
   80 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
      |                   ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75:   required from ‘stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<T>* <anonymous> = 0; stan::return_type_t<T> = double]’
   58 |   return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
   16 |       : op_dv_vari(lmgamma(a, bvi->val_), a, bvi) {}
      |                    ~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32:   required from ‘stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<T>* <anonymous> = 0; stan::return_type_t<T> = double]’
   58 |   return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
      |                              ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
   16 |       : op_dv_vari(lmgamma(a, bvi->val_), a, bvi) {}
      |                    ~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:66:58:   required from ‘stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:12&&)> [with auto:12 = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]’
   66 |           return std::forward<decltype(xx)>(xx).unaryExpr([](auto&& xxx) {
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
   67 |             return apply_scalar_unary<F, decltype(xxx)>::apply(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |                 std::forward<decltype(xxx)>(xxx));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
   69 |           });
      |           ~~                                              
/usr/include/c++/16/type_traits:2890:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:12&&)>; Args = {const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1, 0, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> > > >}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:64:23:   required from ‘static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(TT&&) [with TT = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; F = stan::math::lgamma_fun; T = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]’
   64 |     return make_holder(
      |            ~~~~~~~~~~~^
   65 |         [](auto&& xx) {
      |         ~~~~~~~~~~~~~~~
   66 |           return std::forward<decltype(xx)>(xx).unaryExpr([](auto&& xxx) {
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |             return apply_scalar_unary<F, decltype(xxx)>::apply(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |                 std::forward<decltype(xxx)>(xxx));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   69 |           });
      |           ~~~          
   70 |         },
      |         ~~             
   71 |         std::forward<TT>(x));
      |         ~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:79:38:   required from ‘struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>’
   79 |       apply_scalar_unary<F, T>::apply(std::declval<T>()))>;
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:121:50:   required from ‘auto stan::math::lgamma(T&&) [with T = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_not_var_matrix_t<Container>* <anonymous> = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<T>* <anonymous> = 0; stan::require_container_t<T1>* <anonymous> = 0]’
  121 |   return apply_scalar_unary<lgamma_fun, T>::apply(std::forward<T>(x));
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29:   required from ‘stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<T>* <anonymous> = 0; stan::return_type_t<T> = double]’
   58 |   return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
      |                       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
   16 |       : op_dv_vari(lmgamma(a, bvi->val_), a, bvi) {}
      |                    ~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:66:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   66 |           return std::forward<decltype(xx)>(xx).unaryExpr([](auto&& xxx) {
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
   67 |             return apply_scalar_unary<F, decltype(xxx)>::apply(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |                 std::forward<decltype(xxx)>(xxx));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
   69 |           });
      |           ~~                                              
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = apply_scalar_unary<lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:12&&)>; Args = {const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1, 0, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> > > >}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:64:23:   required from ‘static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(TT&&) [with TT = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; F = stan::math::lgamma_fun; T = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]’
   64 |     return make_holder(
      |            ~~~~~~~~~~~^
   65 |         [](auto&& xx) {
      |         ~~~~~~~~~~~~~~~
   66 |           return std::forward<decltype(xx)>(xx).unaryExpr([](auto&& xxx) {
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |             return apply_scalar_unary<F, decltype(xxx)>::apply(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |                 std::forward<decltype(xxx)>(xxx));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   69 |           });
      |           ~~~          
   70 |         },
      |         ~~             
   71 |         std::forward<TT>(x));
      |         ~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:79:38:   required from ‘struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>’
   79 |       apply_scalar_unary<F, T>::apply(std::declval<T>()))>;
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:121:50:   required from ‘auto stan::math::lgamma(T&&) [with T = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_not_var_matrix_t<Container>* <anonymous> = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<T>* <anonymous> = 0; stan::require_container_t<T1>* <anonymous> = 0]’
  121 |   return apply_scalar_unary<lgamma_fun, T>::apply(std::forward<T>(x));
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29:   required from ‘stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<T>* <anonymous> = 0; stan::return_type_t<T> = double]’
   58 |   return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
      |                       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
   16 |       : op_dv_vari(lmgamma(a, bvi->val_), a, bvi) {}
      |                    ~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/variance.hpp:29:37:   required from here
   29 |   double variance = diff.squaredNorm() / size_m1;
      |                     ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24:   required from here
  280 |     L_chol_.array() += scalar;
      |                        ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of ‘std::vector<long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long unsigned int> >&) [with T = long unsigned int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp:97:48:   required from here
   97 |     std::vector<size_t> dim_vec = validate_dims(names, values.size(), dims);
      |                                   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<long unsigned int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   74 |     for (int i = 0; i < dims.size(); i++) {
      |                     ~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of ‘std::vector<long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long unsigned int> >&) [with T = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48:   required from here
  118 |     std::vector<size_t> dim_vec = validate_dims(names, values.size(), dims);
      |                                   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<long unsigned int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   74 |     for (int i = 0; i < dims.size(); i++) {
      |                     ~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:22:   required from ‘bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, -1>]’
  156 |   return !((derived()-derived()).hasNaN());
      |            ~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27:   required from here
   31 |       if (!covar.allFinite())
      |            ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)>::<lambda(auto:47)>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)>::<lambda(auto:47)>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)>::<lambda(auto:47)>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)>::<lambda(auto:47)>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)>::<lambda(auto:47)>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:99:27:   required from ‘stan::math::value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)> [with auto:46 = Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >]’
   99 |         return m.unaryExpr([](auto x) { return value_of_rec(x); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)>, Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)>, Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)>; Args = {Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:97:21:   required from ‘auto stan::math::value_of_rec(T&&) [with T = Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >; stan::require_not_st_same<T, double>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0]’
   97 |   return make_holder(
      |          ~~~~~~~~~~~^
   98 |       [](auto&& m) {
      |       ~~~~~~~~~~~~~~ 
   99 |         return m.unaryExpr([](auto x) { return value_of_rec(x); });
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  100 |       },
      |       ~~             
  101 |       std::forward<T>(M));
      |       ~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_greater_or_equal.hpp:157:30:   required from ‘void stan::math::check_greater_or_equal(const char*, const char*, const T_y&, const T_low&, Idxs ...) [with T_y = std::vector<int>; T_low = int; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_not_std_vector_vt<stan::is_container_or_var_matrix, T_y>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; Idxs = {}]’
  157 |   auto&& y_arr = value_of_rec(as_array_or_scalar(to_ref(y)));
      |                  ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:7644:41:   required from here
 7644 |       stan::math::check_greater_or_equal(function__, "N", N, 1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)>::<lambda(auto:47)>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)>::<lambda(auto:47)>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)>::<lambda(auto:47)>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)>::<lambda(auto:47)>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)>::<lambda(auto:47)>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:99:27:   required from ‘stan::math::value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)> [with auto:46 = Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&]’
   99 |         return m.unaryExpr([](auto x) { return value_of_rec(x); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:417:28:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::math::value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)>; long unsigned int ...Is = {0}; Args = {Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = value_of_rec<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:46&&)>; Args = {Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:97:21:   required from ‘auto stan::math::value_of_rec(T&&) [with T = Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >; stan::require_not_st_same<T, double>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0]’
   97 |   return make_holder(
      |          ~~~~~~~~~~~^
   98 |       [](auto&& m) {
      |       ~~~~~~~~~~~~~~ 
   99 |         return m.unaryExpr([](auto x) { return value_of_rec(x); });
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  100 |       },
      |       ~~             
  101 |       std::forward<T>(M));
      |       ~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_greater_or_equal.hpp:157:30:   required from ‘void stan::math::check_greater_or_equal(const char*, const char*, const T_y&, const T_low&, Idxs ...) [with T_y = std::vector<int>; T_low = int; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_not_std_vector_vt<stan::is_container_or_var_matrix, T_y>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; Idxs = {}]’
  157 |   auto&& y_arr = value_of_rec(as_array_or_scalar(to_ref(y)));
      |                  ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:7644:41:   required from here
 7644 |       stan::math::check_greater_or_equal(function__, "N", N, 1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:79:55:   required from ‘auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector<double>&; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_not_std_vector_t<typename stan::value_type<T>::type>* <anonymous> = 0]’
   79 |       [](auto&& x) { return T_map(x.data(), x.size()).matrix().array(); },
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_greater_or_equal.hpp:157:49:   required from ‘void stan::math::check_greater_or_equal(const char*, const char*, const T_y&, const T_low&, Idxs ...) [with T_y = std::vector<double>; T_low = int; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_not_std_vector_vt<stan::is_container_or_var_matrix, T_y>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; Idxs = {}]’
  157 |   auto&& y_arr = value_of_rec(as_array_or_scalar(to_ref(y)));
      |                               ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:9004:41:   required from here
 9004 |       stan::math::check_greater_or_equal(function__, "lambda_y_sd",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
 9005 |         lambda_y_sd, 0);
      |         ~~~~~~~~~~~~~~~                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:79:64:   required from ‘auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector<double>&; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_not_std_vector_t<typename stan::value_type<T>::type>* <anonymous> = 0]’
   79 |       [](auto&& x) { return T_map(x.data(), x.size()).matrix().array(); },
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_greater_or_equal.hpp:157:49:   required from ‘void stan::math::check_greater_or_equal(const char*, const char*, const T_y&, const T_low&, Idxs ...) [with T_y = std::vector<double>; T_low = int; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_not_std_vector_vt<stan::is_container_or_var_matrix, T_y>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; Idxs = {}]’
  157 |   auto&& y_arr = value_of_rec(as_array_or_scalar(to_ref(y)));
      |                               ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:9004:41:   required from here
 9004 |       stan::math::check_greater_or_equal(function__, "lambda_y_sd",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
 9005 |         lambda_y_sd, 0);
      |         ~~~~~~~~~~~~~~~                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:79:69:   required from ‘stan::math::as_array_or_scalar<const std::vector<double>&>(const std::vector<double>&)::<lambda(auto:66&&)> [with auto:66 = const std::vector<double>&]’
   79 |       [](auto&& x) { return T_map(x.data(), x.size()).matrix().array(); },
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::as_array_or_scalar<const std::vector<double>&>(const std::vector<double>&)::<lambda(auto:66&&)>, const std::vector<double, std::allocator<double> >&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::as_array_or_scalar<const std::vector<double>&>(const std::vector<double>&)::<lambda(auto:66&&)>, const std::vector<double, std::allocator<double> >&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::as_array_or_scalar<const std::vector<double>&>(const std::vector<double>&)::<lambda(auto:66&&)>; Args = {const std::vector<double, std::allocator<double> >&}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:78:21:   required from ‘auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector<double>&; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_not_std_vector_t<typename stan::value_type<T>::type>* <anonymous> = 0]’
   78 |   return make_holder(
      |          ~~~~~~~~~~~^
   79 |       [](auto&& x) { return T_map(x.data(), x.size()).matrix().array(); },
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   80 |       std::forward<T>(v));
      |       ~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_greater_or_equal.hpp:157:49:   required from ‘void stan::math::check_greater_or_equal(const char*, const char*, const T_y&, const T_low&, Idxs ...) [with T_y = std::vector<double>; T_low = int; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_not_std_vector_vt<stan::is_container_or_var_matrix, T_y>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; Idxs = {}]’
  157 |   auto&& y_arr = value_of_rec(as_array_or_scalar(to_ref(y)));
      |                               ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:9004:41:   required from here
 9004 |       stan::math::check_greater_or_equal(function__, "lambda_y_sd",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
 9005 |         lambda_y_sd, 0);
      |         ~~~~~~~~~~~~~~~                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |                    ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp: In instantiation of ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’:
stanExports_stanmarg.cc:30:75:   required from here
   30 |     .method("standalone_gqs", &rstan::stan_fit<stan_model, stan::rng_t> ::standalone_gqs)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1252:9: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable=]
 1252 |     int ret = stan::services::error_codes::CONFIG;
      |         ^~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err.hpp:6,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/acosh.hpp:5,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun.hpp:7,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint.hpp:4,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim.hpp:11:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp: In instantiation of ‘static void stan::math::internal::bounded<T_y, T_low, T_high, y_is_vec>::check(const char*, const char*, const T_y&, const T_low&, const T_high&) [with T_y = double; T_low = int; T_high = int; bool y_is_vec = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp:80:75:   required from ‘void stan::math::check_bounded(const char*, const char*, const T_y&, const T_low&, const T_high&) [with T_y = double; T_low = int; T_high = int]’
   80 |   internal::bounded<T_y, T_low, T_high, is_vector_like<T_y>::value>::check(
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   81 |       function, name, y, low, high);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                        
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/inv_Phi.hpp:32:16:   required from here
   32 |   check_bounded("inv_Phi", "Probability variable", p, 0, 1);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp:30:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare]
   30 |     for (size_t n = 0; n < max_size(low, high); n++) {
      |                        ~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp: In instantiation of ‘static void stan::math::internal::bounded<T_y, T_low, T_high, y_is_vec>::check(const char*, const char*, const T_y&, const T_low&, const T_high&) [with T_y = int; T_low = int; T_high = int; bool y_is_vec = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp:80:75:   required from ‘void stan::math::check_bounded(const char*, const char*, const T_y&, const T_low&, const T_high&) [with T_y = int; T_low = int; T_high = int]’
   80 |   internal::bounded<T_y, T_low, T_high, is_vector_like<T_y>::value>::check(
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   81 |       function, name, y, low, high);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                        
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/one_hot_array.hpp:23:16:   required from here
   23 |   check_bounded(function, "k", k, 1, K);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp:30:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare]
   30 |     for (size_t n = 0; n < max_size(low, high); n++) {
      |                        ~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:38:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Scal = double; stan::require_t<stan::is_eigen_col_vector<T> >* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
  102 |   result << A.template cast<T_return>(), B;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:19:   required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = Eigen::Matrix<double, -1, 1>; Tb = Eigen::Matrix<double, -1, 1>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
   28 |       = append_row(as_array_or_scalar(b), 1.0);
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:128:47:   required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
  128 |     return internal::hypergeometric_3F2_infsum(a_ref, b_ref, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:154:28:   required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
  154 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:80:37:   required from here
   80 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
      |                   ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err.hpp:4:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]’
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:30:   required from here
   47 |     stan::math::check_not_nan(function, "Mean vector", mu);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, -1> >(const char*, const char*, const Eigen::Matrix<double, -1, -1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, -1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit))))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, -1>]’
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:30:   required from here
   74 |     stan::math::check_not_nan(function, "Cholesky factor", L_chol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare]
  207 |   for (size_t i = 0; i < x.rows(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare]
  208 |     for (size_t j = 0; j < x.cols(); j++) {
      |                        ~~^~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta.hpp:70,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/core.hpp:4,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/abs.hpp:4,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun.hpp:4:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of ‘void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&, Idxs ...) [with T_y = long unsigned int; T_high = long int; stan::require_all_stan_scalar_t<U, V>* <anonymous> = 0; Idxs = {}]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36:   required from ‘std::vector<long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long unsigned int> >&) [with T = long int]’
   79 |     stan::math::check_less_or_equal("validate_dims", "array_var_context",
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   80 |                                     elem_dims_total[dims.size()], array_size);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48:   required from here
  118 |     std::vector<size_t> dim_vec = validate_dims(names, values.size(), dims);
      |                                   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:39:20: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const long int’ [-Wsign-compare]
   39 |   if (unlikely(!(y <= high))) {
      |                 ~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/compiler_attributes.hpp:9:41: note: in definition of macro ‘unlikely’
    9 | #define unlikely(x) __builtin_expect(!!(x), 0)
      |                                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]’
   29 |   elementwise_check([](double x) { return std::isfinite(x); }, function, name,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     y, "finite");
      |                     ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29:   required from here
   21 |     stan::math::check_finite("check_finite", "inv_metric", inv_metric);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from ‘void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]’
   29 |   elementwise_check([](double x) { return x > 0; }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     "positive");
      |                     ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:31:   required from here
   22 |     stan::math::check_positive("check_positive", "inv_metric", inv_metric);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28:   required from ‘bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >]’
  142 |   return !((derived().array()==derived().array()).all());
      |             ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40:   required from ‘bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, -1>]’
  156 |   return !((derived()-derived()).hasNaN());
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27:   required from here
   31 |       if (!covar.allFinite())
      |            ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28:   required from ‘bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]’
  142 |   return !((derived().array()==derived().array()).all());
      |             ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40:   required from ‘bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, 1>]’
  156 |   return !((derived()-derived()).hasNaN());
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:30:25:   required from here
   30 |       if (!var.allFinite())
      |            ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_tanh_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_tanh_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_tanh_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_tanh_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_tanh_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tanh.hpp:79:71:   required from ‘stan::math::tanh<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&)::<lambda(auto:371&&)> [with auto:371 = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&]’
   79 |       std::forward<Container>(x), [](auto&& v) { return v.array().tanh(); });
      |                                                         ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   46 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_constrain.hpp:28:14:   required from ‘stan::plain_type_t<T> stan::math::corr_constrain(T&&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::plain_type_t<T> = Eigen::Matrix<double, -1, 1>]’
   28 |   return tanh(std::forward<T>(x));
      |          ~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:45:41:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::corr_matrix_constrain(T&&, Eigen::Index) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double; Eigen::Index = long int]’
   45 |   return read_corr_matrix(corr_constrain(std::forward<T>(x)), k);
      |                           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:151:33:   required from ‘auto stan::math::corr_matrix_constrain(T&&, Eigen::Index, Lp&) [with bool Jacobian = false; T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lp = double; stan::require_convertible_t<typename stan::return_type<T2>::type, Lp>* <anonymous> = 0; Eigen::Index = long int]’
  151 |     return corr_matrix_constrain(std::forward<T>(x), k);
      |            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:972:55:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix<double, -1, -1>; bool Jacobian = false; LP = double; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; stan::require_matrix_t<S>* <anonymous> = 0; T = double; Eigen::Index = long int]’
  972 |     return stan::math::corr_matrix_constrain<Jacobian>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  973 |         this->read<conditional_var_val_t<Ret, vector_t>>((k * (k - 1)) / 2), k,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  974 |         lp);
      |         ~~~                                            
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:1001:72:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector<Eigen::Matrix<double, -1, -1> >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t<U>* <anonymous> = 0; T = double; size_t = long unsigned int]’
 1001 |           this->read_constrain_corr_matrix<value_type_t<Ret>, Jacobian>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1002 |               lp, sizes...));
      |               ~~~~~~~~~~~~~                                             
stanExports_stanmarg.h:20468:22:   required from here
20466 |         in__.template read_constrain_corr_matrix<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20467 |           std::vector<Eigen::Matrix<local_scalar_t__,-1,-1>>,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20468 |           jacobian__>(lp__, Theta_r_mat_1_1dim__, Theta_r_mat_1_3dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_tanh_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_tanh_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_tanh_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_tanh_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:48:71:   required from ‘stan::math::apply_vector_unary<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, void>::apply<stan::math::tanh<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&)::<lambda(auto:371&&)>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&, stan::math::tanh<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&)::<lambda(auto:371&&)>&&)::<lambda(auto:16&&)> [with auto:16 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_tanh_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]’
   48 |           [](auto&& xx) { return std::forward<decltype(xx)>(xx).matrix(); },
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = stan::math::apply_vector_unary<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, void>::apply<stan::math::tanh<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&)::<lambda(auto:371&&)>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&, stan::math::tanh<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&)::<lambda(auto:371&&)>&&)::<lambda(auto:16&&)>; _Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_tanh_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&}]’
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_constrain.hpp:28:14:   required from ‘stan::plain_type_t<T> stan::math::corr_constrain(T&&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::plain_type_t<T> = Eigen::Matrix<double, -1, 1>]’
   28 |   return tanh(std::forward<T>(x));
      |          ~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:45:41:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::corr_matrix_constrain(T&&, Eigen::Index) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double; Eigen::Index = long int]’
   45 |   return read_corr_matrix(corr_constrain(std::forward<T>(x)), k);
      |                           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:151:33:   required from ‘auto stan::math::corr_matrix_constrain(T&&, Eigen::Index, Lp&) [with bool Jacobian = false; T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lp = double; stan::require_convertible_t<typename stan::return_type<T2>::type, Lp>* <anonymous> = 0; Eigen::Index = long int]’
  151 |     return corr_matrix_constrain(std::forward<T>(x), k);
      |            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:972:55:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix<double, -1, -1>; bool Jacobian = false; LP = double; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; stan::require_matrix_t<S>* <anonymous> = 0; T = double; Eigen::Index = long int]’
  972 |     return stan::math::corr_matrix_constrain<Jacobian>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  973 |         this->read<conditional_var_val_t<Ret, vector_t>>((k * (k - 1)) / 2), k,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  974 |         lp);
      |         ~~~                                            
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:1001:72:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector<Eigen::Matrix<double, -1, -1> >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t<U>* <anonymous> = 0; T = double; size_t = long unsigned int]’
 1001 |           this->read_constrain_corr_matrix<value_type_t<Ret>, Jacobian>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1002 |               lp, sizes...));
      |               ~~~~~~~~~~~~~                                             
stanExports_stanmarg.h:20468:22:   required from here
20466 |         in__.template read_constrain_corr_matrix<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20467 |           std::vector<Eigen::Matrix<local_scalar_t__,-1,-1>>,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20468 |           jacobian__>(lp__, Theta_r_mat_1_1dim__, Theta_r_mat_1_3dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:79:21:   required from ‘auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]’
   79 |   return (m.array() - c).matrix();
      |          ~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lb_free.hpp:37:29:   required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
   37 |     return eval(log(subtract(std::forward<decltype(y_ref)>(y_ref),
      |                     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |                              std::forward<decltype(lb_ref)>(lb_ref))));
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:254:36:   required from ‘void stan::io::serializer<T>::write_free_lb(const L&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; T = double]’
  254 |     this->write(stan::math::lb_free(x, lb));
      |                 ~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25924:26:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25924 |       out__.write_free_lb(0, Theta_sd_free);
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:79:32:   required from ‘auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]’
   79 |   return (m.array() - c).matrix();
      |          ~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lb_free.hpp:37:29:   required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
   37 |     return eval(log(subtract(std::forward<decltype(y_ref)>(y_ref),
      |                     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |                              std::forward<decltype(lb_ref)>(lb_ref))));
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:254:36:   required from ‘void stan::io::serializer<T>::write_free_lb(const L&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; T = double]’
  254 |     this->write(stan::math::lb_free(x, lb));
      |                 ~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25924:26:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25924 |       out__.write_free_lb(0, Theta_sd_free);
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:87:64:   required from ‘stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:51&&)> [with auto:51 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&]’
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |                                                         ~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:44:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(T2&&, F&&) [with F = stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:51&&)>; T2 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<typename std::decay<T2>::type, void>::type> >* <anonymous> = 0; T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]’
   46 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:86:46:   required from ‘auto stan::math::log(Container&&) [with Container = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
   86 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lb_free.hpp:37:20:   required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
   37 |     return eval(log(subtract(std::forward<decltype(y_ref)>(y_ref),
      |                 ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |                              std::forward<decltype(lb_ref)>(lb_ref))));
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:254:36:   required from ‘void stan::io::serializer<T>::write_free_lb(const L&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; T = double]’
  254 |     this->write(stan::math::lb_free(x, lb));
      |                 ~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25924:26:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25924 |       out__.write_free_lb(0, Theta_sd_free);
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:87:70:   required from ‘stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:51&&)> [with auto:51 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&]’
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |                                                         ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:44:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(T2&&, F&&) [with F = stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:51&&)>; T2 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<typename std::decay<T2>::type, void>::type> >* <anonymous> = 0; T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]’
   46 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:86:46:   required from ‘auto stan::math::log(Container&&) [with Container = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
   86 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lb_free.hpp:37:20:   required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
   37 |     return eval(log(subtract(std::forward<decltype(y_ref)>(y_ref),
      |                 ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |                              std::forward<decltype(lb_ref)>(lb_ref))));
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:254:36:   required from ‘void stan::io::serializer<T>::write_free_lb(const L&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; T = double]’
  254 |     this->write(stan::math::lb_free(x, lb));
      |                 ~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25924:26:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25924 |       out__.write_free_lb(0, Theta_sd_free);
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:48:71:   required from ‘stan::math::apply_vector_unary<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:51&&)>, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&, stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:51&&)>&&)::<lambda(auto:16&&)> [with auto:16 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >]’
   48 |           [](auto&& xx) { return std::forward<decltype(xx)>(xx).matrix(); },
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = stan::math::apply_vector_unary<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:51&&)>, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&, stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:51&&)>&&)::<lambda(auto:16&&)>; _Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> > > > > >&&}]’
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(T2&&, F&&) [with F = stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&)::<lambda(auto:51&&)>; T2 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<typename std::decay<T2>::type, void>::type> >* <anonymous> = 0; T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]’
   47 |       return make_holder(
      |              ~~~~~~~~~~~^
   48 |           [](auto&& xx) { return std::forward<decltype(xx)>(xx).matrix(); },
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |           make_holder(std::forward<F>(f), std::forward<T2>(x)));
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:86:46:   required from ‘auto stan::math::log(Container&&) [with Container = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
   86 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lb_free.hpp:37:20:   required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
   37 |     return eval(log(subtract(std::forward<decltype(y_ref)>(y_ref),
      |                 ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |                              std::forward<decltype(lb_ref)>(lb_ref))));
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:254:36:   required from ‘void stan::io::serializer<T>::write_free_lb(const L&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; T = double]’
  254 |     this->write(stan::math::lb_free(x, lb));
      |                 ~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25924:26:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25924 |       out__.write_free_lb(0, Theta_sd_free);
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:62:13:   required from ‘auto stan::math::subtract(Scal, const Mat&) [with Scal = int; Mat = Eigen::Matrix<double, -1, 1>; stan::require_stan_scalar_t<T1>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]’
   62 |   return (c - m.array()).matrix();
      |          ~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/ub_free.hpp:43:29:   required from ‘auto stan::math::ub_free(T&&, U&&) [with T = Eigen::Matrix<double, -1, 1>; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
   43 |     return eval(log(subtract(std::forward<decltype(ub_ref)>(ub_ref),
      |                     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   44 |                              std::forward<decltype(y_ref)>(y_ref))));
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:54:19:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   54 |     return ub_free(identity_free(y, lb), ub);
      |            ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:62:32:   required from ‘auto stan::math::subtract(Scal, const Mat&) [with Scal = int; Mat = Eigen::Matrix<double, -1, 1>; stan::require_stan_scalar_t<T1>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]’
   62 |   return (c - m.array()).matrix();
      |          ~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/ub_free.hpp:43:29:   required from ‘auto stan::math::ub_free(T&&, U&&) [with T = Eigen::Matrix<double, -1, 1>; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
   43 |     return eval(log(subtract(std::forward<decltype(ub_ref)>(ub_ref),
      |                     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   44 |                              std::forward<decltype(y_ref)>(y_ref))));
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:54:19:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   54 |     return ub_free(identity_free(y, lb), ub);
      |            ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:87:64:   required from ‘stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:51&&)> [with auto:51 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >&]’
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |                                                         ~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:44:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(T2&&, F&&) [with F = stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:51&&)>; T2 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<typename std::decay<T2>::type, void>::type> >* <anonymous> = 0; T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >]’
   46 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:86:46:   required from ‘auto stan::math::log(Container&&) [with Container = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
   86 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/ub_free.hpp:43:20:   required from ‘auto stan::math::ub_free(T&&, U&&) [with T = Eigen::Matrix<double, -1, 1>; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
   43 |     return eval(log(subtract(std::forward<decltype(ub_ref)>(ub_ref),
      |                 ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   44 |                              std::forward<decltype(y_ref)>(y_ref))));
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:54:19:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   54 |     return ub_free(identity_free(y, lb), ub);
      |            ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:87:70:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |                                                         ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:86:46:   required from ‘auto stan::math::log(Container&&) [with Container = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
   86 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/ub_free.hpp:43:20:   required from ‘auto stan::math::ub_free(T&&, U&&) [with T = Eigen::Matrix<double, -1, 1>; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
   43 |     return eval(log(subtract(std::forward<decltype(ub_ref)>(ub_ref),
      |                 ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   44 |                              std::forward<decltype(y_ref)>(y_ref))));
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:54:19:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   54 |     return ub_free(identity_free(y, lb), ub);
      |            ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:48:71:   required from ‘stan::math::apply_vector_unary<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, void>::apply<stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:51&&)>, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >&&, stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:51&&)>&&)::<lambda(auto:16&&)> [with auto:16 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >]’
   48 |           [](auto&& xx) { return std::forward<decltype(xx)>(xx).matrix(); },
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = stan::math::apply_vector_unary<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, void>::apply<stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:51&&)>, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >&&, stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:51&&)>&&)::<lambda(auto:16&&)>; _Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > > > >&&}]’
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:86:46:   required from ‘auto stan::math::log(Container&&) [with Container = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
   86 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/ub_free.hpp:43:20:   required from ‘auto stan::math::ub_free(T&&, U&&) [with T = Eigen::Matrix<double, -1, 1>; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
   43 |     return eval(log(subtract(std::forward<decltype(ub_ref)>(ub_ref),
      |                 ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   44 |                              std::forward<decltype(y_ref)>(y_ref))));
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:54:19:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   54 |     return ub_free(identity_free(y, lb), ub);
      |            ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:50:17:   required from ‘stan::math::divide<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, double>(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&, double&&)::<lambda(auto:272&&, auto:273&&)> [with auto:272 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; auto:273 = double]’
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::divide<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, double>(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> > > >, double}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:59:29:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   59 |     return eval(logit(divide(subtract(std::forward<decltype(y_ref)>(y_ref), lb),
      |                       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   60 |                              subtract(ub, lb))));
      |                              ~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:51:20:   required from ‘stan::math::divide<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, double>(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&, double&&)::<lambda(auto:272&&, auto:273&&)> [with auto:272 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; auto:273 = double]’
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = stan::math::divide<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, double>(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&, double&&)::<lambda(auto:272&&, auto:273&&)>; _Args = {Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> > > >&&, double&&}]’
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::divide<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, double>(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> > > >, double}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:59:29:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   59 |     return eval(logit(divide(subtract(std::forward<decltype(y_ref)>(y_ref), lb),
      |                       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   60 |                              subtract(ub, lb))));
      |                              ~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:148:7:   required from ‘class stan::math::Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>’
  148 | class Holder
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:398:16:   required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence<Is ...>, const std::tuple<Args* ...>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; long unsigned int ...Is = {0}; Args = {double}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  398 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:416:43:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::math::divide<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, double>(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&, double&&)::<lambda(auto:272&&, auto:273&&)>; long unsigned int ...Is = {0, 1}; Args = {Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> > > >, double}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0, 1>]’
  416 |   return make_holder_impl_construct_object(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  418 |       std::make_index_sequence<std::tuple_size<decltype(ptrs)>::value>(), ptrs);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = divide<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, double>(Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&&, double&&)::<lambda(auto:272&&, auto:273&&)>; Args = {Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> > > >, double}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:21:   required from ‘auto stan::math::divide(T1&&, T2&&) [with T1 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   47 |   return make_holder(
      |          ~~~~~~~~~~~^
   48 |       [](auto&& m_, auto&& c_) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |         return (as_array_or_scalar(std::forward<decltype(m_)>(m_))
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |                 / as_array_or_scalar(std::forward<decltype(c_)>(c_)))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             .matrix();
      |             ~~~~~~~~~~
   52 |       },
      |       ~~             
   53 |       std::forward<T1>(m), std::forward<T2>(c));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:59:29:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   59 |     return eval(logit(divide(subtract(std::forward<decltype(y_ref)>(y_ref), lb),
      |                       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   60 |                              subtract(ub, lb))));
      |                              ~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/logit.hpp:113:51:   required from ‘stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>::<lambda(auto:344&&)> [with auto:344 = Eigen::Matrix<double, -1, 1>&]’
  113 |             [](auto&& v) { return (v.array() / (1 - v.array())).log(); });
      |                                                ~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   46 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/logit.hpp:109:21:   required from ‘auto stan::math::logit(Container&&) [with Container = Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
  109 |   return make_holder(
      |          ~~~~~~~~~~~^
  110 |       [](auto&& v_ref) {
      |       ~~~~~~~~~~~~~~~~~~
  111 |         return apply_vector_unary<ref_type_t<Container>>::apply(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |             std::forward<decltype(v_ref)>(v_ref),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |             [](auto&& v) { return (v.array() / (1 - v.array())).log(); });
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |       },
      |       ~~             
  115 |       to_ref(std::forward<Container>(x)));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:59:22:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   59 |     return eval(logit(divide(subtract(std::forward<decltype(y_ref)>(y_ref), lb),
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   60 |                              subtract(ub, lb))));
      |                              ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/logit.hpp:113:46:   required from ‘stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>::<lambda(auto:344&&)> [with auto:344 = Eigen::Matrix<double, -1, 1>&]’
  113 |             [](auto&& v) { return (v.array() / (1 - v.array())).log(); });
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   46 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/logit.hpp:109:21:   required from ‘auto stan::math::logit(Container&&) [with Container = Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
  109 |   return make_holder(
      |          ~~~~~~~~~~~^
  110 |       [](auto&& v_ref) {
      |       ~~~~~~~~~~~~~~~~~~
  111 |         return apply_vector_unary<ref_type_t<Container>>::apply(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |             std::forward<decltype(v_ref)>(v_ref),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |             [](auto&& v) { return (v.array() / (1 - v.array())).log(); });
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |       },
      |       ~~             
  115 |       to_ref(std::forward<Container>(x)));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:59:22:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   59 |     return eval(logit(divide(subtract(std::forward<decltype(y_ref)>(y_ref), lb),
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   60 |                              subtract(ub, lb))));
      |                              ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/logit.hpp:113:68:   required from ‘stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>::<lambda(auto:344&&)> [with auto:344 = Eigen::Matrix<double, -1, 1>&]’
  113 |             [](auto&& v) { return (v.array() / (1 - v.array())).log(); });
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   46 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/logit.hpp:109:21:   required from ‘auto stan::math::logit(Container&&) [with Container = Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
  109 |   return make_holder(
      |          ~~~~~~~~~~~^
  110 |       [](auto&& v_ref) {
      |       ~~~~~~~~~~~~~~~~~~
  111 |         return apply_vector_unary<ref_type_t<Container>>::apply(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |             std::forward<decltype(v_ref)>(v_ref),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |             [](auto&& v) { return (v.array() / (1 - v.array())).log(); });
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |       },
      |       ~~             
  115 |       to_ref(std::forward<Container>(x)));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:59:22:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   59 |     return eval(logit(divide(subtract(std::forward<decltype(y_ref)>(y_ref), lb),
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   60 |                              subtract(ub, lb))));
      |                              ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:148:7:   required from ‘class stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> >’
  148 | class Holder
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:398:16:   required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence<Is ...>, const std::tuple<Args* ...>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >; long unsigned int ...Is = {0}; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  398 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:416:43:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>::<lambda(auto:344&&)>; long unsigned int ...Is = {0}; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  416 |   return make_holder_impl_construct_object(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  418 |       std::make_index_sequence<std::tuple_size<decltype(ptrs)>::value>(), ptrs);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/logit.hpp:109:21:   required from ‘auto stan::math::logit(Container&&) [with Container = Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
  109 |   return make_holder(
      |          ~~~~~~~~~~~^
  110 |       [](auto&& v_ref) {
      |       ~~~~~~~~~~~~~~~~~~
  111 |         return apply_vector_unary<ref_type_t<Container>>::apply(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |             std::forward<decltype(v_ref)>(v_ref),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |             [](auto&& v) { return (v.array() / (1 - v.array())).log(); });
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |       },
      |       ~~             
  115 |       to_ref(std::forward<Container>(x)));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:59:22:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   59 |     return eval(logit(divide(subtract(std::forward<decltype(y_ref)>(y_ref), lb),
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   60 |                              subtract(ub, lb))));
      |                              ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:48:71:   required from ‘stan::math::apply_vector_unary<Eigen::Matrix<double, -1, 1>, void>::apply<stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>::<lambda(auto:344&&)>, Eigen::Matrix<double, -1, 1> >(Eigen::Matrix<double, -1, 1>&&, stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>::<lambda(auto:344&&)>&&)::<lambda(auto:16&&)> [with auto:16 = stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> >]’
   48 |           [](auto&& xx) { return std::forward<decltype(xx)>(xx).matrix(); },
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = stan::math::apply_vector_unary<Eigen::Matrix<double, -1, 1>, void>::apply<stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>::<lambda(auto:344&&)>, Eigen::Matrix<double, -1, 1> >(Eigen::Matrix<double, -1, 1>&&, stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>::<lambda(auto:344&&)>&&)::<lambda(auto:16&&)>; _Args = {stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> >&&}]’
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/logit.hpp:109:21:   required from ‘auto stan::math::logit(Container&&) [with Container = Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
  109 |   return make_holder(
      |          ~~~~~~~~~~~^
  110 |       [](auto&& v_ref) {
      |       ~~~~~~~~~~~~~~~~~~
  111 |         return apply_vector_unary<ref_type_t<Container>>::apply(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |             std::forward<decltype(v_ref)>(v_ref),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |             [](auto&& v) { return (v.array() / (1 - v.array())).log(); });
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |       },
      |       ~~             
  115 |       to_ref(std::forward<Container>(x)));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:59:22:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   59 |     return eval(logit(divide(subtract(std::forward<decltype(y_ref)>(y_ref), lb),
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   60 |                              subtract(ub, lb))));
      |                              ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::MatrixWrapper<stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > >, stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<stan::math::Holder<Eigen::MatrixWrapper<stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > >, stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<stan::math::Holder<Eigen::MatrixWrapper<stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > >, stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:148:7:   required from ‘class stan::math::Holder<Eigen::MatrixWrapper<stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > >, stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > >’
  148 | class Holder
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:398:16:   required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence<Is ...>, const std::tuple<Args* ...>&) [with T = Eigen::MatrixWrapper<stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > >; long unsigned int ...Is = {0}; Args = {stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> >}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  398 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:416:43:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::math::apply_vector_unary<Eigen::Matrix<double, -1, 1>, void>::apply<stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>::<lambda(auto:344&&)>, Eigen::Matrix<double, -1, 1> >(Eigen::Matrix<double, -1, 1>&&, stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>::<lambda(auto:344&&)>&&)::<lambda(auto:16&&)>; long unsigned int ...Is = {0}; Args = {stan::math::Holder<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> >}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  416 |   return make_holder_impl_construct_object(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  418 |       std::make_index_sequence<std::tuple_size<decltype(ptrs)>::value>(), ptrs);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/logit.hpp:109:21:   required from ‘auto stan::math::logit(Container&&) [with Container = Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
  109 |   return make_holder(
      |          ~~~~~~~~~~~^
  110 |       [](auto&& v_ref) {
      |       ~~~~~~~~~~~~~~~~~~
  111 |         return apply_vector_unary<ref_type_t<Container>>::apply(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |             std::forward<decltype(v_ref)>(v_ref),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |             [](auto&& v) { return (v.array() / (1 - v.array())).log(); });
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |       },
      |       ~~             
  115 |       to_ref(std::forward<Container>(x)));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:59:22:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   59 |     return eval(logit(divide(subtract(std::forward<decltype(y_ref)>(y_ref), lb),
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   60 |                              subtract(ub, lb))));
      |                              ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:48:71:   required from ‘stan::math::apply_vector_unary<Eigen::Matrix<double, -1, 1>, void>::apply<stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>::<lambda(auto:344&&)>, Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&, stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>::<lambda(auto:344&&)>&&)::<lambda(auto:16&&)> [with auto:16 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >]’
   48 |           [](auto&& xx) { return std::forward<decltype(xx)>(xx).matrix(); },
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = stan::math::apply_vector_unary<Eigen::Matrix<double, -1, 1>, void>::apply<stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>::<lambda(auto:344&&)>, Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&, stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>::<lambda(auto:344&&)>&&)::<lambda(auto:16&&)>; _Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > > > >&&}]’
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/logit.hpp:109:21:   required from ‘auto stan::math::logit(Container&&) [with Container = Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
  109 |   return make_holder(
      |          ~~~~~~~~~~~^
  110 |       [](auto&& v_ref) {
      |       ~~~~~~~~~~~~~~~~~~
  111 |         return apply_vector_unary<ref_type_t<Container>>::apply(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |             std::forward<decltype(v_ref)>(v_ref),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |             [](auto&& v) { return (v.array() / (1 - v.array())).log(); });
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |       },
      |       ~~             
  115 |       to_ref(std::forward<Container>(x)));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:59:22:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   59 |     return eval(logit(divide(subtract(std::forward<decltype(y_ref)>(y_ref), lb),
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   60 |                              subtract(ub, lb))));
      |                              ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<stan::math::Holder<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<stan::math::Holder<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:148:7:   required from ‘class stan::math::Holder<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >, Eigen::Matrix<double, -1, 1, 0, -1, 1> >’
  148 | class Holder
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:398:16:   required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence<Is ...>, const std::tuple<Args* ...>&) [with T = Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >; long unsigned int ...Is = {0}; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  398 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:416:43:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::math::logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>; long unsigned int ...Is = {0}; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  416 |   return make_holder_impl_construct_object(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  418 |       std::make_index_sequence<std::tuple_size<decltype(ptrs)>::value>(), ptrs);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = logit<Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double> >(Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>&&)::<lambda(auto:343&&)>; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/logit.hpp:109:21:   required from ‘auto stan::math::logit(Container&&) [with Container = Holder<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, double>; stan::require_container_bt<std::is_arithmetic, Container>* <anonymous> = 0]’
  109 |   return make_holder(
      |          ~~~~~~~~~~~^
  110 |       [](auto&& v_ref) {
      |       ~~~~~~~~~~~~~~~~~~
  111 |         return apply_vector_unary<ref_type_t<Container>>::apply(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |             std::forward<decltype(v_ref)>(v_ref),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |             [](auto&& v) { return (v.array() / (1 - v.array())).log(); });
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |       },
      |       ~~             
  115 |       to_ref(std::forward<Container>(x)));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:59:22:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   59 |     return eval(logit(divide(subtract(std::forward<decltype(y_ref)>(y_ref), lb),
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   60 |                              subtract(ub, lb))));
      |                              ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:68:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of ‘int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1253:46:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1253 |     ret = stan::services::standalone_generate(model_, draws,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
 1254 |             Rcpp::as<unsigned int>(seed), interrupt, logger, *sample_writer_ptr);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:30:75:   required from here
   30 |     .method("standalone_gqs", &rstan::stan_fit<stan_model, stan::rng_t> ::standalone_gqs)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:55:22: warning: comparison of integer expressions of different signedness: ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare]
   55 |   if (p_names.size() != draws.cols()) {
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:73:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare]
   73 |     for (size_t i = 0; i < draws.rows(); ++i) {
      |                        ~~^~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/assert.hpp:35,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept_check.hpp:20,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:19,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/size_type.hpp:20,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/size.hpp:21,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/functions.hpp:20,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range.hpp:18,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/numeric/odeint/util/resize.hpp:24:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::constraint<Model>::failed() [with Model = boost::algorithm::FinderConcept<boost::algorithm::detail::token_finderF<boost::algorithm::detail::is_any_ofF<char> >, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:81:13:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:65:52: warning: ‘this’ pointer is null [-Wnonnull]
   65 |     static void failed() { ((Model*)0)->constraints(); }
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~^~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:26,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:16,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string.hpp:23,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:4,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:46:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function ‘void boost::algorithm::FinderConcept<FinderT, IteratorT>::constraints() [with FinderT = boost::algorithm::detail::token_finderF<boost::algorithm::detail::is_any_ofF<char> >; IteratorT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]’
   40 |             void constraints()
      |                  ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::constraint<Model>::failed() [with Model = boost::algorithm::FinderConcept<boost::algorithm::detail::first_finderF<const char*, boost::algorithm::is_equal>, __gnu_cxx::__normal_iterator<const char*, std::__cxx11::basic_string<char> > >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/find_format.hpp:98:13:   required from ‘void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string<char>; FinderT = detail::first_finderF<const char*, is_equal>; FormatterT = detail::const_formatF<boost::iterator_range<const char*> >]’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/replace.hpp:179:44:   required from ‘void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string<char>; Range1T = char [11]; Range2T = char [1]]’
  179 |             ::boost::algorithm::find_format(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  180 |                 Input,
      |                 ~~~~~~                      
  181 |                 ::boost::algorithm::first_finder(Search),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |                 ::boost::algorithm::const_formatter(Format) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:132:29:   required from here
  132 |         boost::replace_first(value, " (Default)", "");
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:65:52: warning: ‘this’ pointer is null [-Wnonnull]
   65 |     static void failed() { ((Model*)0)->constraints(); }
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function ‘void boost::algorithm::FinderConcept<FinderT, IteratorT>::constraints() [with FinderT = boost::algorithm::detail::first_finderF<const char*, boost::algorithm::is_equal>; IteratorT = __gnu_cxx::__normal_iterator<const char*, std::__cxx11::basic_string<char> >]’
   40 |             void constraints()
      |                  ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::constraint<Model>::failed() [with Model = boost::algorithm::FormatterConcept<boost::algorithm::detail::const_formatF<boost::iterator_range<const char*> >, boost::algorithm::detail::first_finderF<const char*, boost::algorithm::is_equal>, __gnu_cxx::__normal_iterator<const char*, std::__cxx11::basic_string<char> > >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/find_format.hpp:103:13:   required from ‘void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string<char>; FinderT = detail::first_finderF<const char*, is_equal>; FormatterT = detail::const_formatF<boost::iterator_range<const char*> >]’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/replace.hpp:179:44:   required from ‘void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string<char>; Range1T = char [11]; Range2T = char [1]]’
  179 |             ::boost::algorithm::find_format(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  180 |                 Input,
      |                 ~~~~~~                      
  181 |                 ::boost::algorithm::first_finder(Search),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |                 ::boost::algorithm::const_formatter(Format) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:132:29:   required from here
  132 |         boost::replace_first(value, " (Default)", "");
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:65:52: warning: ‘this’ pointer is null [-Wnonnull]
   65 |     static void failed() { ((Model*)0)->constraints(); }
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/concept.hpp:65:18: note: in a call to non-static member function ‘void boost::algorithm::FormatterConcept<FormatterT, FinderT, IteratorT>::constraints() [with FormatterT = boost::algorithm::detail::const_formatF<boost::iterator_range<const char*> >; FinderT = boost::algorithm::detail::first_finderF<const char*, boost::algorithm::is_equal>; IteratorT = __gnu_cxx::__normal_iterator<const char*, std::__cxx11::basic_string<char> >]’
   65 |             void constraints()
      |                  ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp: In instantiation of ‘static void stan::math::internal::bounded<T_y, T_low, T_high, y_is_vec>::check(const char*, const char*, const T_y&, const T_low&, const T_high&) [with T_y = double; T_low = double; T_high = double; bool y_is_vec = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp:80:75:   required from ‘void stan::math::check_bounded(const char*, const char*, const T_y&, const T_low&, const T_high&) [with T_y = double; T_low = double; T_high = double]’
   80 |   internal::bounded<T_y, T_low, T_high, is_vector_like<T_y>::value>::check(
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   81 |       function, name, y, low, high);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                        
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/atanh.hpp:32:18:   required from ‘double stan::math::atanh(T&&) [with T = const double&; stan::require_arithmetic_t<T>* <anonymous> = 0]’
   32 |     check_bounded("atanh", "x", x, -1.0, 1.0);
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/atanh.hpp:59:33:   required from here
   59 |   return make_callback_var(atanh(x.val()), [x](const auto& vi) mutable {
      |                            ~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp:30:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare]
   30 |     for (size_t n = 0; n < max_size(low, high); n++) {
      |                        ~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31:   required from ‘stan::return_type_t<T_x1, T_x2, T_sigma, T_l> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<T_x1, T_x2, T_sigma, T_l> = double]’
  182 |   Eigen::Matrix<double, 2, 1> a_args(2);
      |                               ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:192:39:   required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
  192 |       auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
      |                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:308:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
  308 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  309 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_reg_inc_beta.hpp:50:25:   required from ‘void stan::math::grad_reg_inc_beta(T&, T&, const T&, const T&, const T&, const T&, const T&, const T&, const T&) [with T = double]’
   50 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inc_beta.hpp:26:22:   required from here
   26 |     grad_reg_inc_beta(d_a, d_b, avi_->val_, bvi_->val_, cvi_->val_,
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   27 |                       digamma(avi_->val_), digamma(bvi_->val_),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                       digamma(avi_->val_ + bvi_->val_), beta_ab);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31:   required from ‘stan::return_type_t<T_x1, T_x2, T_sigma, T_l> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<T_x1, T_x2, T_sigma, T_l> = double]’
  182 |   Eigen::Matrix<double, 2, 1> a_args(2);
      |                               ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:192:39:   required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
  192 |       auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
      |                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:308:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
  308 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  309 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_reg_inc_beta.hpp:50:25:   required from ‘void stan::math::grad_reg_inc_beta(T&, T&, const T&, const T&, const T&, const T&, const T&, const T&, const T&) [with T = double]’
   50 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inc_beta.hpp:26:22:   required from here
   26 |     grad_reg_inc_beta(d_a, d_b, avi_->val_, bvi_->val_, cvi_->val_,
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   27 |                       digamma(avi_->val_), digamma(bvi_->val_),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                       digamma(avi_->val_ + bvi_->val_), beta_ab);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, 1, 0, 1, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:183:31:   required from ‘stan::return_type_t<T_x1, T_x2, T_sigma, T_l> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<T_x1, T_x2, T_sigma, T_l> = double]’
  183 |   Eigen::Matrix<double, 1, 1> b_args(1);
      |                               ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:192:39:   required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
  192 |       auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
      |                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:308:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
  308 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  309 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_reg_inc_beta.hpp:50:25:   required from ‘void stan::math::grad_reg_inc_beta(T&, T&, const T&, const T&, const T&, const T&, const T&, const T&, const T&) [with T = double]’
   50 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inc_beta.hpp:26:22:   required from here
   26 |     grad_reg_inc_beta(d_a, d_b, avi_->val_, bvi_->val_, cvi_->val_,
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   27 |                       digamma(avi_->val_), digamma(bvi_->val_),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                       digamma(avi_->val_ + bvi_->val_), beta_ab);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, 3, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, 3, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, 3, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, 3, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, 3, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:118:39:   required from ‘TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double>]’
  118 |     inner_diff = g_current.array().abs().maxCoeff();
      |                  ~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:206:78:   required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
  206 |       grad_tuple_ab = grad_2F1_impl_ab<calc_a1_euler, calc_a2_euler, calc_b1>(
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  207 |           a1_euler, a2_euler, b1, z_euler);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:308:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
  308 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  309 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_reg_inc_beta.hpp:50:25:   required from ‘void stan::math::grad_reg_inc_beta(T&, T&, const T&, const T&, const T&, const T&, const T&, const T&, const T&) [with T = double]’
   50 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inc_beta.hpp:26:22:   required from here
   26 |     grad_reg_inc_beta(d_a, d_b, avi_->val_, bvi_->val_, cvi_->val_,
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   27 |                       digamma(avi_->val_), digamma(bvi_->val_),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                       digamma(avi_->val_ + bvi_->val_), beta_ab);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:62:47:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::read_corr_L(const T&, size_t) [with T = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0; typename stan::value_type<T>::type = double; size_t = long unsigned int]’
   62 |   acc.tail(pull) = T_scalar(1.0) - temp.square();
      |                                    ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:32:55:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t) [with T_CPCs = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0; typename stan::value_type<T>::type = double; size_t = long unsigned int]’
   32 |   return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K));
      |                                            ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:45:26:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::corr_matrix_constrain(T&&, Eigen::Index) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double; Eigen::Index = long int]’
   45 |   return read_corr_matrix(corr_constrain(std::forward<T>(x)), k);
      |          ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:151:33:   required from ‘auto stan::math::corr_matrix_constrain(T&&, Eigen::Index, Lp&) [with bool Jacobian = false; T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lp = double; stan::require_convertible_t<typename stan::return_type<T2>::type, Lp>* <anonymous> = 0; Eigen::Index = long int]’
  151 |     return corr_matrix_constrain(std::forward<T>(x), k);
      |            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:972:55:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix<double, -1, -1>; bool Jacobian = false; LP = double; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; stan::require_matrix_t<S>* <anonymous> = 0; T = double; Eigen::Index = long int]’
  972 |     return stan::math::corr_matrix_constrain<Jacobian>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  973 |         this->read<conditional_var_val_t<Ret, vector_t>>((k * (k - 1)) / 2), k,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  974 |         lp);
      |         ~~~                                            
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:1001:72:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector<Eigen::Matrix<double, -1, -1> >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t<U>* <anonymous> = 0; T = double; size_t = long unsigned int]’
 1001 |           this->read_constrain_corr_matrix<value_type_t<Ret>, Jacobian>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1002 |               lp, sizes...));
      |               ~~~~~~~~~~~~~                                             
stanExports_stanmarg.h:20468:22:   required from here
20466 |         in__.template read_constrain_corr_matrix<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20467 |           std::vector<Eigen::Matrix<local_scalar_t__,-1,-1>>,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20468 |           jacobian__>(lp__, Theta_r_mat_1_1dim__, Theta_r_mat_1_3dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:62:34:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::read_corr_L(const T&, size_t) [with T = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0; typename stan::value_type<T>::type = double; size_t = long unsigned int]’
   62 |   acc.tail(pull) = T_scalar(1.0) - temp.square();
      |                    ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:32:55:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t) [with T_CPCs = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0; typename stan::value_type<T>::type = double; size_t = long unsigned int]’
   32 |   return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K));
      |                                            ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:45:26:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::corr_matrix_constrain(T&&, Eigen::Index) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double; Eigen::Index = long int]’
   45 |   return read_corr_matrix(corr_constrain(std::forward<T>(x)), k);
      |          ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:151:33:   required from ‘auto stan::math::corr_matrix_constrain(T&&, Eigen::Index, Lp&) [with bool Jacobian = false; T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lp = double; stan::require_convertible_t<typename stan::return_type<T2>::type, Lp>* <anonymous> = 0; Eigen::Index = long int]’
  151 |     return corr_matrix_constrain(std::forward<T>(x), k);
      |            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:972:55:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix<double, -1, -1>; bool Jacobian = false; LP = double; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; stan::require_matrix_t<S>* <anonymous> = 0; T = double; Eigen::Index = long int]’
  972 |     return stan::math::corr_matrix_constrain<Jacobian>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  973 |         this->read<conditional_var_val_t<Ret, vector_t>>((k * (k - 1)) / 2), k,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  974 |         lp);
      |         ~~~                                            
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:1001:72:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector<Eigen::Matrix<double, -1, -1> >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t<U>* <anonymous> = 0; T = double; size_t = long unsigned int]’
 1001 |           this->read_constrain_corr_matrix<value_type_t<Ret>, Jacobian>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1002 |               lp, sizes...));
      |               ~~~~~~~~~~~~~                                             
stanExports_stanmarg.h:20468:22:   required from here
20466 |         in__.template read_constrain_corr_matrix<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20467 |           std::vector<Eigen::Matrix<local_scalar_t__,-1,-1>>,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20468 |           jacobian__>(lp__, Theta_r_mat_1_1dim__, Theta_r_mat_1_3dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:68:32:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::read_corr_L(const T&, size_t) [with T = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0; typename stan::value_type<T>::type = double; size_t = long unsigned int]’
   68 |     L.col(i).tail(pull) = temp * acc.tail(pull).sqrt();
      |                           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:32:55:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t) [with T_CPCs = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0; typename stan::value_type<T>::type = double; size_t = long unsigned int]’
   32 |   return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K));
      |                                            ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:45:26:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::corr_matrix_constrain(T&&, Eigen::Index) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double; Eigen::Index = long int]’
   45 |   return read_corr_matrix(corr_constrain(std::forward<T>(x)), k);
      |          ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:151:33:   required from ‘auto stan::math::corr_matrix_constrain(T&&, Eigen::Index, Lp&) [with bool Jacobian = false; T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lp = double; stan::require_convertible_t<typename stan::return_type<T2>::type, Lp>* <anonymous> = 0; Eigen::Index = long int]’
  151 |     return corr_matrix_constrain(std::forward<T>(x), k);
      |            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:972:55:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix<double, -1, -1>; bool Jacobian = false; LP = double; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; stan::require_matrix_t<S>* <anonymous> = 0; T = double; Eigen::Index = long int]’
  972 |     return stan::math::corr_matrix_constrain<Jacobian>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  973 |         this->read<conditional_var_val_t<Ret, vector_t>>((k * (k - 1)) / 2), k,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  974 |         lp);
      |         ~~~                                            
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:1001:72:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector<Eigen::Matrix<double, -1, -1> >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t<U>* <anonymous> = 0; T = double; size_t = long unsigned int]’
 1001 |           this->read_constrain_corr_matrix<value_type_t<Ret>, Jacobian>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1002 |               lp, sizes...));
      |               ~~~~~~~~~~~~~                                             
stanExports_stanmarg.h:20468:22:   required from here
20466 |         in__.template read_constrain_corr_matrix<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20467 |           std::vector<Eigen::Matrix<local_scalar_t__,-1,-1>>,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20468 |           jacobian__>(lp__, Theta_r_mat_1_1dim__, Theta_r_mat_1_3dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:54:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp: In instantiation of ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:98:7: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable=]
   98 |   int ret = 0;
      |       ^~~
stanExports_stanmarg.h: In instantiation of ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’:
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
stanExports_stanmarg.h:22883:13: warning: variable ‘rr1’ set but not used [-Wunused-but-set-variable=]
22883 |         int rr1 = std::numeric_limits<int>::min();
      |             ^~~
stanExports_stanmarg.h:22884:13: warning: variable ‘rr2’ set but not used [-Wunused-but-set-variable=]
22884 |         int rr2 = std::numeric_limits<int>::min();
      |             ^~~
stanExports_stanmarg.h:22886:13: warning: unused variable ‘clusidx’ [-Wunused-variable]
22886 |         int clusidx = std::numeric_limits<int>::min();
      |             ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:58:   required from ‘stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)> [with auto:334 = Eigen::Matrix<double, -1, 1>&]’
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>, Eigen::Matrix<double, -1, 1, 0, -1, 1>&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>, Eigen::Matrix<double, -1, 1, 0, -1, 1>&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>; Args = {Eigen::Matrix<double, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:104:23:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(T2&&, F&&) [with T2 = Eigen::Matrix<double, -1, 1>&; F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:334&&)>; T = Eigen::Matrix<double, -1, 1>&]’
  104 |     return make_holder(std::forward<F>(f), std::forward<T2>(x));
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39:   required from ‘auto stan::math::log_sum_exp(T&&) [with T = Eigen::Matrix<double, -1, 1>&; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
   83 |   return apply_vector_unary<T>::reduce(std::forward<T>(x), [](auto&& v) {
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   84 |     if (v.size() == 0) {
      |     ~~~~~~~~~~~~~~~~~~~~               
   85 |       return NEGATIVE_INFTY;
      |       ~~~~~~~~~~~~~~~~~~~~~~           
   86 |     }
      |     ~                                  
   87 |     const auto& v_ref = to_ref(v);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
   88 |     const double max = v_ref.maxCoeff();
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   89 |     if (!std::isfinite(max)) {
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~         
   90 |       return max;
      |       ~~~~~~~~~~~                      
   91 |     }
      |     ~                                  
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   93 |   });
      |   ~~                                   
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   required from here
   59 |     double log_sum_y = log_sum_exp(log_y);
      |                        ~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
   72 |     typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
      |                                                                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10:   required from ‘Eigen::CommaInitializer<Derived> Eigen::DenseBase<Derived>::operator<<(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  159 |   return CommaInitializer<Derived>(*static_cast<Derived *>(this), other);
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Scal = double; stan::require_t<stan::is_eigen_col_vector<T> >* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
  102 |   result << A.template cast<T_return>(), B;
      |   ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:19:   required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = Eigen::Matrix<double, -1, 1>; Tb = Eigen::Matrix<double, -1, 1>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
   28 |       = append_row(as_array_or_scalar(b), 1.0);
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:128:47:   required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
  128 |     return internal::hypergeometric_3F2_infsum(a_ref, b_ref, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:154:28:   required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
  154 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:80:37:   required from here
   80 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
      |                   ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/variance.hpp:26:53:   required from here
   26 |   vector_d diff = dtrs_vals.array() - dtrs_vals.mean();
      |                                       ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  451 |     subdiag = mat.template diagonal<-1>().real();
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  514 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  514 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:32:43:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t) [with T_CPCs = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0; typename stan::value_type<T>::type = double; size_t = long unsigned int]’
   32 |   return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K));
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:45:26:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::corr_matrix_constrain(T&&, Eigen::Index) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double; Eigen::Index = long int]’
   45 |   return read_corr_matrix(corr_constrain(std::forward<T>(x)), k);
      |          ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:151:33:   required from ‘auto stan::math::corr_matrix_constrain(T&&, Eigen::Index, Lp&) [with bool Jacobian = false; T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lp = double; stan::require_convertible_t<typename stan::return_type<T2>::type, Lp>* <anonymous> = 0; Eigen::Index = long int]’
  151 |     return corr_matrix_constrain(std::forward<T>(x), k);
      |            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:972:55:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix<double, -1, -1>; bool Jacobian = false; LP = double; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; stan::require_matrix_t<S>* <anonymous> = 0; T = double; Eigen::Index = long int]’
  972 |     return stan::math::corr_matrix_constrain<Jacobian>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  973 |         this->read<conditional_var_val_t<Ret, vector_t>>((k * (k - 1)) / 2), k,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  974 |         lp);
      |         ~~~                                            
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:1001:72:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector<Eigen::Matrix<double, -1, -1> >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t<U>* <anonymous> = 0; T = double; size_t = long unsigned int]’
 1001 |           this->read_constrain_corr_matrix<value_type_t<Ret>, Jacobian>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1002 |               lp, sizes...));
      |               ~~~~~~~~~~~~~                                             
stanExports_stanmarg.h:20468:22:   required from here
20466 |         in__.template read_constrain_corr_matrix<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20467 |           std::vector<Eigen::Matrix<local_scalar_t__,-1,-1>>,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20468 |           jacobian__>(lp__, Theta_r_mat_1_1dim__, Theta_r_mat_1_3dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp: In instantiation of ‘static void stan::math::internal::bounded<T_y, T_low, T_high, true>::check(const char*, const char*, const T_y&, const T_low&, const T_high&) [with T_y = Eigen::Matrix<double, -1, 1>; T_low = int; T_high = int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp:80:75:   required from ‘void stan::math::check_bounded(const char*, const char*, const T_y&, const T_low&, const T_high&) [with T_y = Eigen::Matrix<double, -1, 1>; T_low = int; T_high = int]’
   80 |   internal::bounded<T_y, T_low, T_high, is_vector_like<T_y>::value>::check(
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   81 |       function, name, y, low, high);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                        
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_free.hpp:57:18:   required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; U = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0]’
   57 |     check_bounded("lub_free", "Bounded variable", value_of(y_ref), value_of(lb),
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |                   value_of(ub));
      |                   ~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:282:37:   required from ‘void stan::io::serializer<T>::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; U = int; T = double]’
  282 |     this->write(stan::math::lub_free(x, lb, ub));
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:26054:27:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
26054 |       out__.write_free_lub(-(1), 1, Theta_r_free);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp:48:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare]
   48 |     for (size_t n = 0; n < stan::math::size(y); n++) {
      |                        ~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:184:25:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  184 |         _pk.noalias() = -_gk;
      |                         ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lb_constrain.hpp:203:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  203 |       auto exp_x = to_arena(arena_x.val().array().exp());
      |                             ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:385:46:   required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  385 |     return stan::math::lb_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                                               lp);
      |                                               ~~~
stanExports_stanmarg.h:18132:22:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18131 |         in__.template read_constrain_lb<Eigen::Matrix<local_scalar_t__,-1,1>,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18132 |           jacobian__>(0, lp__, Theta_sd_free_1dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lb_constrain.hpp:203:48:   required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t<T1, T2>&) [with T = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
  203 |       auto exp_x = to_arena(arena_x.val().array().exp());
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lb_constrain.hpp:260:24:   required from ‘auto stan::math::lb_constrain(T&&, L&&, Lp&) [with bool Jacobian = true; T = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; L = const int&; Lp = var_value<double>; stan::require_convertible_t<typename stan::return_type<T1, T2>::type, Lp>* <anonymous> = 0]’
  260 |     return lb_constrain(std::forward<T>(x), std::forward<L>(lb), lp);
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:385:46:   required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  385 |     return stan::math::lb_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                                               lp);
      |                                               ~~~
stanExports_stanmarg.h:18132:22:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18131 |         in__.template read_constrain_lb<Eigen::Matrix<local_scalar_t__,-1,1>,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18132 |           jacobian__>(0, lp__, Theta_sd_free_1dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lb_constrain.hpp:203:54:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  203 |       auto exp_x = to_arena(arena_x.val().array().exp());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:385:46:   required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  385 |     return stan::math::lb_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                                               lp);
      |                                               ~~~
stanExports_stanmarg.h:18132:22:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18131 |         in__.template read_constrain_lb<Eigen::Matrix<local_scalar_t__,-1,1>,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18132 |           jacobian__>(0, lp__, Theta_sd_free_1dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lb_constrain.hpp:204:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  204 |       arena_t<ret_type> ret = exp_x + lb_val;
      |                               ~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:385:46:   required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  385 |     return stan::math::lb_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                                               lp);
      |                                               ~~~
stanExports_stanmarg.h:18132:22:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18131 |         in__.template read_constrain_lb<Eigen::Matrix<local_scalar_t__,-1,1>,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18132 |           jacobian__>(0, lp__, Theta_sd_free_1dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lb_constrain.hpp:207:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |         arena_x.adj().array() += ret.adj().array() * exp_x + lp.adj();
      |                                  ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:385:46:   required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  385 |     return stan::math::lb_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                                               lp);
      |                                               ~~~
stanExports_stanmarg.h:18132:22:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18131 |         in__.template read_constrain_lb<Eigen::Matrix<local_scalar_t__,-1,1>,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18132 |           jacobian__>(0, lp__, Theta_sd_free_1dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lb_constrain.hpp:207:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |         arena_x.adj().array() += ret.adj().array() * exp_x + lp.adj();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:385:46:   required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  385 |     return stan::math::lb_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                                               lp);
      |                                               ~~~
stanExports_stanmarg.h:18132:22:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18131 |         in__.template read_constrain_lb<Eigen::Matrix<local_scalar_t__,-1,1>,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18132 |           jacobian__>(0, lp__, Theta_sd_free_1dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/ub_constrain.hpp:206:39:   required from ‘auto stan::math::ub_constrain(const T&, const U&, stan::return_type_t<T1, T2>&) [with T = Eigen::Matrix<var_value<double>, -1, 1>; U = int; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
  206 |       auto arena_neg_exp_x = to_arena(-arena_x.val().array().exp());
      |                                       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:205:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  205 |     return ret_type(ub_constrain(identity_constrain(x, lb), ub, lp));
      |                     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/ub_constrain.hpp:207:38:   required from ‘auto stan::math::ub_constrain(const T&, const U&, stan::return_type_t<T1, T2>&) [with T = Eigen::Matrix<var_value<double>, -1, 1>; U = int; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
  207 |       arena_t<ret_type> ret = ub_val + arena_neg_exp_x;
      |                               ~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:205:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  205 |     return ret_type(ub_constrain(identity_constrain(x, lb), ub, lp));
      |                     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)> [with auto:61 = stan::math::arena_matrix<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >&]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:209:56:   required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t<T_x, T_sigma, T_l>&) [with T = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0; stan::require_var_t<typename stan::return_type<T_x, T_sigma, T_l>::type>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = var_value<double>]’
  209 |     auto neg_abs_x = to_arena(-(value_of(arena_x).array()).abs());
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_constrain.hpp:403:25:   required from ‘auto stan::math::lub_constrain(T&&, L&&, U&&, Lp&) [with bool Jacobian = true; T = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; L = const int&; U = const int&; Lp = var_value<double>; stan::require_convertible_t<typename stan::return_type<T, L, U>::type, Lp>* <anonymous> = 0]’
  403 |     return lub_constrain(std::forward<T>(x), std::forward<L>(lb),
      |            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  404 |                          std::forward<U>(ub), lp);
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:209:63:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  209 |     auto neg_abs_x = to_arena(-(value_of(arena_x).array()).abs());
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:209:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  209 |     auto neg_abs_x = to_arena(-(value_of(arena_x).array()).abs());
      |                               ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:66:58:   required from ‘stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)> [with auto:12 = stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&]’
   66 |           return std::forward<decltype(xx)>(xx).unaryExpr([](auto&& xxx) {
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
   67 |             return apply_scalar_unary<F, decltype(xxx)>::apply(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |                 std::forward<decltype(xxx)>(xxx));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
   69 |           });
      |           ~~                                              
/usr/include/c++/16/type_traits:2890:26:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:211:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  211 |     lp += (log(diff) + (neg_abs_x - (2.0 * log1p_exp(neg_abs_x)))).sum();
      |                                     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:211:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  211 |     lp += (log(diff) + (neg_abs_x - (2.0 * log1p_exp(neg_abs_x)))).sum();
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1p_exp_fun, stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&, void>::apply<stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&>(stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:211:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  211 |     lp += (log(diff) + (neg_abs_x - (2.0 * log1p_exp(neg_abs_x)))).sum();
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_logistic_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_logistic_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_logistic_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_logistic_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_logistic_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/inv_logit.hpp:110:47:   required from ‘stan::math::inv_logit<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > > > >(Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > > >&&)::<lambda(auto:319&&)> [with auto:319 = Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >&]’
  110 |       [](auto&& v) { return v.array().logistic(); });
      |                             ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:58:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   58 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:213:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  213 |     arena_t<ret_type> ret = diff * inv_logit_x + lb_val;
      |                             ~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:213:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  213 |     arena_t<ret_type> ret = diff * inv_logit_x + lb_val;
      |                             ~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:218:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  218 |                 += ret.adj().array() * diff * inv_logit_x * (1.0 - inv_logit_x)
      |                    ~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:218:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  218 |                 += ret.adj().array() * diff * inv_logit_x * (1.0 - inv_logit_x)
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:218:66:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  218 |                 += ret.adj().array() * diff * inv_logit_x * (1.0 - inv_logit_x)
      |                                                             ~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:218:59:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  218 |                 += ret.adj().array() * diff * inv_logit_x * (1.0 - inv_logit_x)
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:219:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  219 |                    + lp.adj() * (1.0 - 2.0 * inv_logit_x);
      |                                        ~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:219:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  219 |                    + lp.adj() * (1.0 - 2.0 * inv_logit_x);
      |                                 ~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:219:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  219 |                    + lp.adj() * (1.0 - 2.0 * inv_logit_x);
      |                      ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/lub_constrain.hpp:219:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  218 |                 += ret.adj().array() * diff * inv_logit_x * (1.0 - inv_logit_x)
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  219 |                    + lp.adj() * (1.0 - 2.0 * inv_logit_x);
      |                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:37:   required from ‘auto stan::math::add(VarMat1&&, VarMat2&&) [with VarMat1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; VarMat2 = Eigen::Transpose<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1> >; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  113 |   using op_ret_type = decltype(a.val() + b.val());
      |                                ~~~~~^~
stanExports_stanmarg.h:18511:28:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18511 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~^
18512 |               stan::model::rvalue(T_r_lower, "T_r_lower",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18513 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18514 |               stan::math::transpose(
      |               ~~~~~~~~~~~~~~~~~~~~~~
18515 |                 stan::model::rvalue(T_r_lower, "T_r_lower",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18516 |                   stan::model::index_uni(g)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >::val_Op, Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >::val_Op, Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >::val_Op, Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >::val_Op, Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >::val_Op, Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:47:   required from ‘auto stan::math::add(VarMat1&&, VarMat2&&) [with VarMat1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; VarMat2 = Eigen::Transpose<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1> >; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  113 |   using op_ret_type = decltype(a.val() + b.val());
      |                                          ~~~~~^~
stanExports_stanmarg.h:18511:28:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18511 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~^
18512 |               stan::model::rvalue(T_r_lower, "T_r_lower",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18513 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18514 |               stan::math::transpose(
      |               ~~~~~~~~~~~~~~~~~~~~~~
18515 |                 stan::model::rvalue(T_r_lower, "T_r_lower",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18516 |                   stan::model::index_uni(g)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >::val_Op, Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >::val_Op, Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >::val_Op, Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >::val_Op, Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >::val_Op, Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:46:   required by substitution of ‘template<class ReturnType, class ... Types> using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix<ReturnType, Types ...>::value), stan::math::var_value<typename stan::math::promote_scalar_type<double, typename std::decay<typename stan::plain_type<typename std::decay<_Tp>::type>::type>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename std::decay<typename stan::plain_type<typename std::decay<_Tp>::type>::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >::val_Op, Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >; Types = {Eigen::Matrix<stan::math::var_value<double, void>, -1, -1, 0, -1, -1>&, Eigen::Transpose<const Eigen::Matrix<stan::math::var_value<double, void>, -1, -1, 0, -1, -1> >}]’
   23 |     is_any_var_matrix<ReturnType, Types...>::value,
      |                                              ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:9:   required from ‘auto stan::math::add(VarMat1&&, VarMat2&&) [with VarMat1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; VarMat2 = Eigen::Transpose<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1> >; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  114 |   using ret_type = return_var_matrix_t<op_ret_type, VarMat1, VarMat2>;
      |         ^~~~~~~~
stanExports_stanmarg.h:18511:28:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18511 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~^
18512 |               stan::model::rvalue(T_r_lower, "T_r_lower",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18513 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18514 |               stan::math::transpose(
      |               ~~~~~~~~~~~~~~~~~~~~~~
18515 |                 stan::model::rvalue(T_r_lower, "T_r_lower",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18516 |                   stan::model::index_uni(g)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:36:   required from ‘auto stan::math::add(VarMat1&&, VarMat2&&) [with VarMat1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; VarMat2 = Eigen::Transpose<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1> >; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  117 |   arena_t<ret_type> ret(arena_a.val() + arena_b.val());
      |                         ~~~~~~~~~~~^~
stanExports_stanmarg.h:18511:28:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18511 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~^
18512 |               stan::model::rvalue(T_r_lower, "T_r_lower",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18513 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18514 |               stan::math::transpose(
      |               ~~~~~~~~~~~~~~~~~~~~~~
18515 |                 stan::model::rvalue(T_r_lower, "T_r_lower",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18516 |                   stan::model::index_uni(g)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:52:   required from ‘auto stan::math::add(VarMat1&&, VarMat2&&) [with VarMat1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; VarMat2 = Eigen::Transpose<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1> >; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  117 |   arena_t<ret_type> ret(arena_a.val() + arena_b.val());
      |                                         ~~~~~~~~~~~^~
stanExports_stanmarg.h:18511:28:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18511 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~^
18512 |               stan::model::rvalue(T_r_lower, "T_r_lower",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18513 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18514 |               stan::math::transpose(
      |               ~~~~~~~~~~~~~~~~~~~~~~
18515 |                 stan::model::rvalue(T_r_lower, "T_r_lower",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18516 |                   stan::model::index_uni(g)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:39:   required from ‘auto stan::math::add(VarMat1&&, VarMat2&&) [with VarMat1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; VarMat2 = Eigen::Transpose<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1> >; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  117 |   arena_t<ret_type> ret(arena_a.val() + arena_b.val());
      |                         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:18511:28:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18511 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~^
18512 |               stan::model::rvalue(T_r_lower, "T_r_lower",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18513 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18514 |               stan::math::transpose(
      |               ~~~~~~~~~~~~~~~~~~~~~~
18515 |                 stan::model::rvalue(T_r_lower, "T_r_lower",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18516 |                   stan::model::index_uni(g)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:123:20:   required from ‘auto stan::math::add(VarMat1&&, VarMat2&&) [with VarMat1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; VarMat2 = Eigen::Transpose<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1> >; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  123 |         arena_b.adj().coeffRef(i, j) += ref_adj;
      |         ~~~~~~~~~~~^~
stanExports_stanmarg.h:18511:28:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18511 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~^
18512 |               stan::model::rvalue(T_r_lower, "T_r_lower",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18513 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18514 |               stan::math::transpose(
      |               ~~~~~~~~~~~~~~~~~~~~~~
18515 |                 stan::model::rvalue(T_r_lower, "T_r_lower",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18516 |                   stan::model::index_uni(g)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:154:13:   required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, -1>; VarMat = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  154 |       (a.val().array() - as_array_or_scalar(b)).matrix())>;
      |        ~~~~~^~
stanExports_stanmarg.h:18510:31:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18510 |           stan::math::subtract(
      |           ~~~~~~~~~~~~~~~~~~~~^
18511 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~~   
18512 |               stan::model::rvalue(T_r_lower, "T_r_lower",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18513 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18514 |               stan::math::transpose(
      |               ~~~~~~~~~~~~~~~~~~~~~~
18515 |                 stan::model::rvalue(T_r_lower, "T_r_lower",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18516 |                   stan::model::index_uni(g)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18517 |             stan::math::diag_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
18518 |               stan::math::rep_vector(static_cast<double>(1), p))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:154:21:   required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, -1>; VarMat = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  154 |       (a.val().array() - as_array_or_scalar(b)).matrix())>;
      |        ~~~~~~~~~~~~~^~
stanExports_stanmarg.h:18510:31:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18510 |           stan::math::subtract(
      |           ~~~~~~~~~~~~~~~~~~~~^
18511 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~~   
18512 |               stan::model::rvalue(T_r_lower, "T_r_lower",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18513 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18514 |               stan::math::transpose(
      |               ~~~~~~~~~~~~~~~~~~~~~~
18515 |                 stan::model::rvalue(T_r_lower, "T_r_lower",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18516 |                   stan::model::index_uni(g)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18517 |             stan::math::diag_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
18518 |               stan::math::rep_vector(static_cast<double>(1), p))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:154:24:   required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, -1>; VarMat = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  154 |       (a.val().array() - as_array_or_scalar(b)).matrix())>;
      |       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:18510:31:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18510 |           stan::math::subtract(
      |           ~~~~~~~~~~~~~~~~~~~~^
18511 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~~   
18512 |               stan::model::rvalue(T_r_lower, "T_r_lower",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18513 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18514 |               stan::math::transpose(
      |               ~~~~~~~~~~~~~~~~~~~~~~
18515 |                 stan::model::rvalue(T_r_lower, "T_r_lower",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18516 |                   stan::model::index_uni(g)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18517 |             stan::math::diag_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
18518 |               stan::math::rep_vector(static_cast<double>(1), p))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from ‘struct stan::is_base_pointer_convertible<Eigen::EigenBase, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   21 |     : bool_constant<is_base_pointer_convertible<Eigen::EigenBase, T>::value> {};
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:23:7:   recursively required by substitution of ‘template<class T> struct stan::plain_type<T, typename std::enable_if<stan::math::conjunction<stan::is_var<T, void>, stan::is_eigen<typename stan::value_type<T, void>::type> >::value, void>::type> [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >]’
   23 | using plain_type_t = typename plain_type<std::decay_t<T>>::type;
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:23:7:   required by substitution of ‘template<class T> using stan::plain_type_t = typename stan::plain_type<typename std::decay<_Tp>::type>::type [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >]’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:153:9:   required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, -1>; VarMat = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  153 |   using op_ret_type = plain_type_t<decltype(
      |         ^~~~~~~~~~~
stanExports_stanmarg.h:18510:31:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18510 |           stan::math::subtract(
      |           ~~~~~~~~~~~~~~~~~~~~^
18511 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~~   
18512 |               stan::model::rvalue(T_r_lower, "T_r_lower",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18513 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18514 |               stan::math::transpose(
      |               ~~~~~~~~~~~~~~~~~~~~~~
18515 |                 stan::model::rvalue(T_r_lower, "T_r_lower",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18516 |                   stan::model::index_uni(g)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18517 |             stan::math::diag_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
18518 |               stan::math::rep_vector(static_cast<double>(1), p))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:157:44:   required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, -1>; VarMat = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  157 |   arena_t<ret_type> ret(arena_a.val().array() - as_array_or_scalar(b));
      |                         ~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:18510:31:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18510 |           stan::math::subtract(
      |           ~~~~~~~~~~~~~~~~~~~~^
18511 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~~   
18512 |               stan::model::rvalue(T_r_lower, "T_r_lower",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18513 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18514 |               stan::math::transpose(
      |               ~~~~~~~~~~~~~~~~~~~~~~
18515 |                 stan::model::rvalue(T_r_lower, "T_r_lower",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18516 |                   stan::model::index_uni(g)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18517 |             stan::math::diag_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
18518 |               stan::math::rep_vector(static_cast<double>(1), p))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:157:47:   required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, -1>; VarMat = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  157 |   arena_t<ret_type> ret(arena_a.val().array() - as_array_or_scalar(b));
      |                         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:18510:31:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18510 |           stan::math::subtract(
      |           ~~~~~~~~~~~~~~~~~~~~^
18511 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~~   
18512 |               stan::model::rvalue(T_r_lower, "T_r_lower",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18513 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18514 |               stan::math::transpose(
      |               ~~~~~~~~~~~~~~~~~~~~~~
18515 |                 stan::model::rvalue(T_r_lower, "T_r_lower",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18516 |                   stan::model::index_uni(g)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18517 |             stan::math::diag_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
18518 |               stan::math::rep_vector(static_cast<double>(1), p))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51:   required from ‘stan::math::as_array_or_scalar<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:65&&)> [with auto:65 = const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&]’
   57 |   return make_holder([](auto&& x) { return x.array(); }, std::forward<T>(v));
      |                                            ~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:180:26:   required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  180 |       (as_array_or_scalar(a) - b.val().array()).matrix())>;
      |        ~~~~~~~~~~~~~~~~~~^~~
stanExports_stanmarg.h:18749:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18749 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~^~~
18750 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:180:37:   required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  180 |       (as_array_or_scalar(a) - b.val().array()).matrix())>;
      |                                ~~~~~^~
stanExports_stanmarg.h:18749:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18749 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~^~~
18750 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:180:45:   required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  180 |       (as_array_or_scalar(a) - b.val().array()).matrix())>;
      |                                ~~~~~~~~~~~~~^~
stanExports_stanmarg.h:18749:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18749 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~^~~
18750 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:180:30:   required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  180 |       (as_array_or_scalar(a) - b.val().array()).matrix())>;
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:18749:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18749 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~^~~
18750 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from ‘struct stan::is_base_pointer_convertible<Eigen::EigenBase, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > > > >’
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   21 |     : bool_constant<is_base_pointer_convertible<Eigen::EigenBase, T>::value> {};
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:23:7:   recursively required by substitution of ‘template<class T> struct stan::plain_type<T, typename std::enable_if<stan::math::conjunction<stan::is_var<T, void>, stan::is_eigen<typename stan::value_type<T, void>::type> >::value, void>::type> [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > > >]’
   23 | using plain_type_t = typename plain_type<std::decay_t<T>>::type;
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:23:7:   required by substitution of ‘template<class T> using stan::plain_type_t = typename stan::plain_type<typename std::decay<_Tp>::type>::type [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > > >]’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:179:9:   required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  179 |   using op_ret_type = plain_type_t<decltype(
      |         ^~~~~~~~~~~
stanExports_stanmarg.h:18749:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18749 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~^~~
18750 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:183:47:   required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  183 |   arena_t<ret_type> ret(as_array_or_scalar(a) - arena_b.val().array());
      |                         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:18749:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18749 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~^~~
18750 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:185:61:   required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  185 |       [ret, arena_b]() mutable { arena_b.adj() -= ret.adj_op(); });
      |                                                   ~~~~~~~~~~^~
stanExports_stanmarg.h:18749:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18749 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~^~~
18750 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:46:   required by substitution of ‘template<class ReturnType, class ... Types> using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix<ReturnType, Types ...>::value), stan::math::var_value<typename stan::math::promote_scalar_type<double, typename std::decay<typename stan::plain_type<typename std::decay<_Tp>::type>::type>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename std::decay<typename stan::plain_type<typename std::decay<_Tp>::type>::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >; Types = {Eigen::Matrix<stan::math::var_value<double, void>, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, -1, 0, -1, -1>}]’
   23 |     is_any_var_matrix<ReturnType, Types...>::value,
      |                                              ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:9:   required from ‘auto stan::math::add(VarMat1&&, VarMat2&&) [with VarMat1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; VarMat2 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  114 |   using ret_type = return_var_matrix_t<op_ret_type, VarMat1, VarMat2>;
      |         ^~~~~~~~
stanExports_stanmarg.h:18790:30:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18790 |               stan::math::add(
      |               ~~~~~~~~~~~~~~~^
18791 |                 stan::model::deep_copy(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
18792 |                   stan::model::rvalue(Sigma, "Sigma",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18793 |                     stan::model::index_uni(g),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~
18794 |                     stan::model::index_min_max(1, p),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18795 |                     stan::model::index_min_max(1, p))),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18796 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~
18797 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18798 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~
18799 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18800 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:39:   required from ‘auto stan::math::add(VarMat1&&, VarMat2&&) [with VarMat1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; VarMat2 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  117 |   arena_t<ret_type> ret(arena_a.val() + arena_b.val());
      |                         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:18790:30:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18790 |               stan::math::add(
      |               ~~~~~~~~~~~~~~~^
18791 |                 stan::model::deep_copy(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
18792 |                   stan::model::rvalue(Sigma, "Sigma",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18793 |                     stan::model::index_uni(g),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~
18794 |                     stan::model::index_min_max(1, p),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18795 |                     stan::model::index_min_max(1, p))),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18796 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~
18797 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18798 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~
18799 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18800 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:46:   required by substitution of ‘template<class ReturnType, class ... Types> using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix<ReturnType, Types ...>::value), stan::math::var_value<typename stan::math::promote_scalar_type<double, typename std::decay<typename stan::plain_type<typename std::decay<_Tp>::type>::type>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename std::decay<typename stan::plain_type<typename std::decay<_Tp>::type>::type>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix<stan::math::var_value<double, void>, -1, -1, 0, -1, -1>&, Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<stan::math::var_value<double, void>, -1, -1, 0, -1, -1>, -1, 1, true>, -1>}]’
   23 |     is_any_var_matrix<ReturnType, Types...>::value,
      |                                              ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:11:   required from ‘auto stan::math::multiply(T1&&, T2&&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; T2 = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
   36 |     using return_t
      |           ^~~~~~~~
stanExports_stanmarg.h:18813:41:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18813 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~^
18814 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18815 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18816 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18817 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
18818 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18819 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:61:   required from ‘auto stan::math::multiply(T1&&, T2&&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; T2 = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
   47 |             arena_A.adj() += res_adj * arena_B_val.transpose();
      |                                        ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:18813:41:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18813 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~^
18814 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18815 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18816 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18817 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
18818 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18819 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:38:   required from ‘auto stan::math::multiply(T1&&, T2&&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; T2 = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
   47 |             arena_A.adj() += res_adj * arena_B_val.transpose();
      |                              ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:18813:41:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18813 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~^
18814 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18815 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18816 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18817 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
18818 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18819 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:54:   required from ‘auto stan::math::multiply(T1&&, T2&&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; T2 = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
   48 |             arena_B.adj() += arena_A_val.transpose() * res_adj;
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
stanExports_stanmarg.h:18813:41:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18813 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~^
18814 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18815 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18816 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18817 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
18818 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18819 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:46:   required by substitution of ‘template<class ReturnType, class ... Types> using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix<ReturnType, Types ...>::value), stan::math::var_value<typename stan::math::promote_scalar_type<double, typename std::decay<typename stan::plain_type<typename std::decay<_Tp>::type>::type>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename std::decay<typename stan::plain_type<typename std::decay<_Tp>::type>::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >; Types = {Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]’
   23 |     is_any_var_matrix<ReturnType, Types...>::value,
      |                                              ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:9:   required from ‘auto stan::math::add(VarMat1&&, VarMat2&&) [with VarMat1 = Eigen::Matrix<var_value<double>, -1, 1>; VarMat2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  114 |   using ret_type = return_var_matrix_t<op_ret_type, VarMat1, VarMat2>;
      |         ^~~~~~~~
stanExports_stanmarg.h:18808:32:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18808 |                 stan::math::add(
      |                 ~~~~~~~~~~~~~~~^
18809 |                   stan::model::deep_copy(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
18810 |                     stan::model::rvalue(Mu, "Mu", stan::model::index_uni(g),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18811 |                       stan::model::index_min_max(1, p))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18812 |                   stan::math::to_vector(
      |                   ~~~~~~~~~~~~~~~~~~~~~~
18813 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~~
18814 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18815 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18816 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18817 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
18818 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18819 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:39:   required from ‘auto stan::math::add(VarMat1&&, VarMat2&&) [with VarMat1 = Eigen::Matrix<var_value<double>, -1, 1>; VarMat2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  117 |   arena_t<ret_type> ret(arena_a.val() + arena_b.val());
      |                         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:18808:32:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18808 |                 stan::math::add(
      |                 ~~~~~~~~~~~~~~~^
18809 |                   stan::model::deep_copy(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
18810 |                     stan::model::rvalue(Mu, "Mu", stan::model::index_uni(g),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18811 |                       stan::model::index_min_max(1, p))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18812 |                   stan::math::to_vector(
      |                   ~~~~~~~~~~~~~~~~~~~~~~
18813 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~~
18814 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18815 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18816 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18817 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
18818 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18819 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp: In instantiation of ‘auto stan::model::rvalue(EigMat&&, const char*, RowMultiIndex&&, ColMultiIndex&&) [with EigMat = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>&; RowMultiIndex = index_multi; ColMultiIndex = index_multi; stan::require_eigen_dense_dynamic_t<M>* <anonymous> = 0; stan::require_same_t<MultiIndex, index_multi>* <anonymous> = 0; stan::require_same_t<ColMultiIndex, index_multi>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = std::vector<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >; Idxs = {index_multi, index_multi}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19665:55:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19665 |                                    stan::model::rvalue(Sigma, "Sigma",
      |                                    ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
19666 |                                      stan::model::index_uni(g),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~
19667 |                                      stan::model::index_multi(xvars),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19668 |                                      stan::model::index_multi(xvars)))));
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:520:22: warning: unused variable ‘rows’ [-Wunused-variable]
  520 |   const Eigen::Index rows = row_idx.ns_.size();
      |                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:521:22: warning: unused variable ‘cols’ [-Wunused-variable]
  521 |   const Eigen::Index cols = col_idx.ns_.size();
      |                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:32:   required from ‘auto stan::math::add(VarMat&&, const Arith&) [with Arith = double; VarMat = Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  147 |       = decltype((a.val().array() + as_array_or_scalar(b)).matrix());
      |                   ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13:   required from ‘auto stan::math::add(const Arith&, VarMat&&) [with Arith = double; VarMat = Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  169 |   return add(std::forward<VarMat>(b), a);
      |          ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:20035:44:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20035 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
20036 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:35:   required from ‘auto stan::math::add(VarMat&&, const Arith&) [with Arith = double; VarMat = Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  147 |       = decltype((a.val().array() + as_array_or_scalar(b)).matrix());
      |                  ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13:   required from ‘auto stan::math::add(const Arith&, VarMat&&) [with Arith = double; VarMat = Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  169 |   return add(std::forward<VarMat>(b), a);
      |          ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:20035:44:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20035 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
20036 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from ‘struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   21 |     : bool_constant<is_base_pointer_convertible<Eigen::EigenBase, T>::value> {};
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:9:   required from ‘auto stan::math::add(VarMat&&, const Arith&) [with Arith = double; VarMat = Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  148 |   using ret_type = return_var_matrix_t<op_ret_type, VarMat>;
      |         ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13:   required from ‘auto stan::math::add(const Arith&, VarMat&&) [with Arith = double; VarMat = Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  169 |   return add(std::forward<VarMat>(b), a);
      |          ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:20035:44:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20035 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
20036 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:47:   required from ‘auto stan::math::add(VarMat&&, const Arith&) [with Arith = double; VarMat = Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  150 |   arena_t<ret_type> ret(arena_a.val().array() + as_array_or_scalar(b));
      |                         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13:   required from ‘auto stan::math::add(const Arith&, VarMat&&) [with Arith = double; VarMat = Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  169 |   return add(std::forward<VarMat>(b), a);
      |          ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:20035:44:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20035 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
20036 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:152:61:   required from ‘auto stan::math::add(VarMat&&, const Arith&) [with Arith = double; VarMat = Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  152 |       [ret, arena_a]() mutable { arena_a.adj() += ret.adj_op(); });
      |                                                   ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13:   required from ‘auto stan::math::add(const Arith&, VarMat&&) [with Arith = double; VarMat = Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  169 |   return add(std::forward<VarMat>(b), a);
      |          ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:20035:44:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20035 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
20036 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:161:35:   required from ‘auto stan::math::multiply(const T1&, T2&&) [with T1 = double; T2 = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
  161 |     arena_t<return_t> res = val_a * arena_B.val().array();
      |                             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:20034:47:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20034 |                           stan::math::multiply(.5,
      |                           ~~~~~~~~~~~~~~~~~~~~^~~~
20035 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20036 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~~   
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:38:   required from ‘auto stan::math::multiply(const T1&, T2&&) [with T1 = double; T2 = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
  163 |       arena_B.adj().array() += val_a * res.adj().array();
      |                                ~~~~~~^~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:20034:47:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20034 |                           stan::math::multiply(.5,
      |                           ~~~~~~~~~~~~~~~~~~~~^~~~
20035 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20036 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~~   
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_logistic_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_logistic_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_logistic_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_logistic_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_logistic_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/inv_logit.hpp:110:47:   required from ‘stan::math::inv_logit<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > > > >(Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > > >&&)::<lambda(auto:319&&)> [with auto:319 = Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >&]’
  110 |       [](auto&& v) { return v.array().logistic(); });
      |                             ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:58:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   58 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:434:47:   required from ‘auto stan::io::deserializer<T>::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = false; LB = int; UB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
  434 |     return stan::math::lub_constrain<Jacobian>(this->read<Ret>(sizes...), lb,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |                                                ub, lp);
      |                                                ~~~~~~~
stanExports_stanmarg.h:18161:60:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = false; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18160 |         in__.template read_constrain_lub<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                   
18161 |           Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(-(1), 1, lp__,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
18162 |           Theta_r_free_1dim__);
      |           ~~~~~~~~~~~~~~~~~~~~                              
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = false; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = false; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1185:50:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1185 |       lp = stan::model::log_prob_grad<true,false>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:40:13:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~~~  
   40 |       .solve(Eigen::Matrix<T_return, Eigen::Dynamic, Eigen::Dynamic>(b)
      |       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   41 |                  .transpose())
      |                  ~~~~~~~~~~~~~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~~~      
   40 |       .solve(Eigen::Matrix<T_return, Eigen::Dynamic, Eigen::Dynamic>(b)
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   41 |                  .transpose())
      |                  ~~~~~~~~~~~~~
   42 |       .transpose();
      |       ~~~~~~~~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:41:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                       ~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:49:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:50:   required from ‘stan::math::quad_form_sym<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, -1>&)::<lambda(auto:362&&)> [with auto:362 = const Eigen::Matrix<double, -1, -1>]’
   35 |   return make_holder([](auto&& ret) { return 0.5 * (ret + ret.transpose()); },
      |                                              ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::quad_form_sym<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, -1>&)::<lambda(auto:362&&)>; Args = {const Eigen::Matrix<double, -1, -1, 0, -1, -1>}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:21:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   35 |   return make_holder([](auto&& ret) { return 0.5 * (ret + ret.transpose()); },
      |          ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, const Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<stan::math::Holder<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, const Eigen::Matrix<double, -1, -1, 0, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<stan::math::Holder<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, const Eigen::Matrix<double, -1, -1, 0, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:148:7:   required from ‘class stan::math::Holder<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, const Eigen::Matrix<double, -1, -1, 0, -1, -1> >’
  148 | class Holder
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:398:16:   required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence<Is ...>, const std::tuple<Args* ...>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >; long unsigned int ...Is = {0}; Args = {const Eigen::Matrix<double, -1, -1, 0, -1, -1>}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  398 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:416:43:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::math::quad_form_sym<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, -1>&)::<lambda(auto:362&&)>; long unsigned int ...Is = {0}; Args = {const Eigen::Matrix<double, -1, -1, 0, -1, -1>}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  416 |   return make_holder_impl_construct_object(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  418 |       std::make_index_sequence<std::tuple_size<decltype(ptrs)>::value>(), ptrs);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = quad_form_sym<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, -1>&)::<lambda(auto:362&&)>; Args = {const Eigen::Matrix<double, -1, -1, 0, -1, -1>}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:21:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   35 |   return make_holder([](auto&& ret) { return 0.5 * (ret + ret.transpose()); },
      |          ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:41:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                       ~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:49:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:57:   required from ‘stan::math::quad_form_sym<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >(const Eigen::Matrix<double, -1, -1>&, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >&)::<lambda(auto:362&&)> [with auto:362 = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   35 |   return make_holder([](auto&& ret) { return 0.5 * (ret + ret.transpose()); },
      |                                                    ~~~~~^~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::quad_form_sym<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >(const Eigen::Matrix<double, -1, -1>&, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >&)::<lambda(auto:362&&)>; Args = {const Eigen::Matrix<double, -1, -1, 1, -1, -1>}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:21:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   35 |   return make_holder([](auto&& ret) { return 0.5 * (ret + ret.transpose()); },
      |          ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:50:   required from ‘stan::math::quad_form_sym<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >(const Eigen::Matrix<double, -1, -1>&, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >&)::<lambda(auto:362&&)> [with auto:362 = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   35 |   return make_holder([](auto&& ret) { return 0.5 * (ret + ret.transpose()); },
      |                                              ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::quad_form_sym<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >(const Eigen::Matrix<double, -1, -1>&, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >&)::<lambda(auto:362&&)>; Args = {const Eigen::Matrix<double, -1, -1, 1, -1, -1>}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:21:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   35 |   return make_holder([](auto&& ret) { return 0.5 * (ret + ret.transpose()); },
      |          ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<stan::math::Holder<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<stan::math::Holder<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:148:7:   required from ‘class stan::math::Holder<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
  148 | class Holder
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:398:16:   required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence<Is ...>, const std::tuple<Args* ...>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >; long unsigned int ...Is = {0}; Args = {const Eigen::Matrix<double, -1, -1, 1, -1, -1>}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  398 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:416:43:   required from ‘auto stan::math::internal::make_holder_impl(F&&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::math::quad_form_sym<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >(const Eigen::Matrix<double, -1, -1>&, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >&)::<lambda(auto:362&&)>; long unsigned int ...Is = {0}; Args = {const Eigen::Matrix<double, -1, -1, 1, -1, -1>}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  416 |   return make_holder_impl_construct_object(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  418 |       std::make_index_sequence<std::tuple_size<decltype(ptrs)>::value>(), ptrs);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:438:36:   required from ‘auto stan::math::make_holder(F&&, Args&& ...) [with F = quad_form_sym<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >(const Eigen::Matrix<double, -1, -1>&, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >&)::<lambda(auto:362&&)>; Args = {const Eigen::Matrix<double, -1, -1, 1, -1, -1>}; stan::require_not_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = 0]’
  438 |   return internal::make_holder_impl(std::forward<F>(func),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  439 |                                     std::make_index_sequence<sizeof...(Args)>(),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                                     std::forward<Args>(args)...);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:21:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   35 |   return make_holder([](auto&& ret) { return 0.5 * (ret + ret.transpose()); },
      |          ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:31:49:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; typename stan::value_type<T>::type = double]’
   31 |   const Eigen::Ref<const plain_type_t<EigMat>>& m_ref = m;
      |                                                 ^~~~~
stanExports_stanmarg.h:21901:36:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21901 |             stan::math::inverse_spd(
      |             ~~~~~~~~~~~~~~~~~~~~~~~^
21902 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:33:60:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; typename stan::value_type<T>::type = double]’
   33 |   plain_type_t<EigMat> mmt = 0.5 * (m_ref + m_ref.transpose());
      |                                             ~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21901:36:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21901 |             stan::math::inverse_spd(
      |             ~~~~~~~~~~~~~~~~~~~~~~~^
21902 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:33:43:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; typename stan::value_type<T>::type = double]’
   33 |   plain_type_t<EigMat> mmt = 0.5 * (m_ref + m_ref.transpose());
      |                                    ~~~~~~~^~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21901:36:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21901 |             stan::math::inverse_spd(
      |             ~~~~~~~~~~~~~~~~~~~~~~~^
21902 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:33:34:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; typename stan::value_type<T>::type = double]’
   33 |   plain_type_t<EigMat> mmt = 0.5 * (m_ref + m_ref.transpose());
      |                              ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21901:36:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21901 |             stan::math::inverse_spd(
      |             ~~~~~~~~~~~~~~~~~~~~~~~^
21902 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:44:20:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; typename stan::value_type<T>::type = double]’
   44 |   return ldlt.solve(
      |          ~~~~~~~~~~^
   45 |       Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic>::Identity(
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   46 |           m.rows(), m.cols()));
      |           ~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21901:36:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21901 |             stan::math::inverse_spd(
      |             ~~~~~~~~~~~~~~~~~~~~~~~^
21902 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13:   required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; Mat2 = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 - m2;
      |          ~~~^~~~
stanExports_stanmarg.h:5399:29:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<double, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = double; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
 5399 |         stan::math::subtract(
      |         ~~~~~~~~~~~~~~~~~~~~^
 5400 |           stan::model::rvalue(Sigmainv, "Sigmainv",
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5401 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5402 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5403 |                 stan::model::index_min_max(1, Nobs))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5404 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5405 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5406 |                 stan::model::index_min_max(1, Nobs)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21916:29:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21916 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
21917 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21918 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21919 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21920 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21921 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21922 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21923 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21924 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21925 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21926 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21927 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21928 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_rng.hpp:73:55:   required from ‘typename stan::StdVectorBuilder<true, Eigen::Matrix<double, -1, 1>, T_loc>::type stan::math::multi_normal_cholesky_rng(const T_loc&, const Eigen::Matrix<double, -1, -1>&, RNG&) [with T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; typename stan::StdVectorBuilder<true, Eigen::Matrix<double, -1, 1>, T_loc>::type = Eigen::Matrix<double, -1, 1>]’
   73 |     output[n] = as_column_vector_or_scalar(mu_vec[n]) + L_ref * z;
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:22979:73:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22979 |                                    stan::math::multi_normal_cholesky_rng(
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
22980 |                                      stan::model::rvalue(Mu, "Mu",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~       
22981 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
22982 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~         
22983 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~     
22984 |                                            "obsidx",
      |                                            ~~~~~~~~~                     
22985 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
22986 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~   
22987 |                                                "Nobs",
      |                                                ~~~~~~~                   
22988 |                                                stan::model::index_uni(mm)))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22989 |                                      Sigma_chol, base_rng__),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~             
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13:   required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Mat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]’
  107 |   return m1 * m2;
      |          ~~~^~~~
stanExports_stanmarg.h:5138:33:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5138 |             stan::math::multiply(stan::math::multiply(Sig12, S22inv),
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5139 |               stan::math::transpose(Sig12))), "assigning variable T2p11");
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13:   required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 - m2;
      |          ~~~^~~~
stanExports_stanmarg.h:5137:31:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5137 |           stan::math::subtract(Sig11,
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~
 5138 |             stan::math::multiply(stan::math::multiply(Sig12, S22inv),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5139 |               stan::math::transpose(Sig12))), "assigning variable T2p11");
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13:   required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; Mat2 = Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 - m2;
      |          ~~~^~~~
stanExports_stanmarg.h:5156:37:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5156 |                 stan::math::subtract(
      |                 ~~~~~~~~~~~~~~~~~~~~^
 5157 |                   stan::model::rvalue(YXstar, "YXstar",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5158 |                     stan::model::index_uni(jj),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5159 |                     stan::model::index_min_max(1,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5160 |                       stan::model::rvalue(Nobs, "Nobs",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5161 |                         stan::model::index_uni(mm)))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5162 |                   stan::model::rvalue(Mu, "Mu",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5163 |                     stan::model::index_uni(grpidx),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5164 |                     stan::model::index_multi(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~
 5165 |                       stan::model::rvalue(obsidx, "obsidx",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5166 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5167 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5168 |                             stan::model::index_uni(mm))))))))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13:   required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Mat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]’
  107 |   return m1 * m2;
      |          ~~~^~~~
stanExports_stanmarg.h:5155:35:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5155 |               stan::math::multiply(stan::math::multiply(Sig12, S22inv),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5156 |                 stan::math::subtract(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5157 |                   stan::model::rvalue(YXstar, "YXstar",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5158 |                     stan::model::index_uni(jj),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5159 |                     stan::model::index_min_max(1,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5160 |                       stan::model::rvalue(Nobs, "Nobs",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5161 |                         stan::model::index_uni(mm)))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5162 |                   stan::model::rvalue(Mu, "Mu",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5163 |                     stan::model::index_uni(grpidx),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5164 |                     stan::model::index_multi(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~
 5165 |                       stan::model::rvalue(obsidx, "obsidx",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5166 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5167 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5168 |                             stan::model::index_uni(mm))))))))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; Mat2 = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, 0>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_stanmarg.h:5148:28:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5148 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~^
 5149 |               stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5150 |                 stan::model::index_multi(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~
 5151 |                   stan::model::rvalue(obsidx, "obsidx",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5152 |                     stan::model::index_min_max(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5153 |                       (stan::model::rvalue(Nobs, "Nobs",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5154 |                          stan::model::index_uni(mm)) + 1), p)))),
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5155 |               stan::math::multiply(stan::math::multiply(Sig12, S22inv),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5156 |                 stan::math::subtract(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5157 |                   stan::model::rvalue(YXstar, "YXstar",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5158 |                     stan::model::index_uni(jj),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5159 |                     stan::model::index_min_max(1,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5160 |                       stan::model::rvalue(Nobs, "Nobs",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5161 |                         stan::model::index_uni(mm)))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5162 |                   stan::model::rvalue(Mu, "Mu",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5163 |                     stan::model::index_uni(grpidx),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5164 |                     stan::model::index_multi(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~
 5165 |                       stan::model::rvalue(obsidx, "obsidx",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5166 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5167 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5168 |                             stan::model::index_uni(mm))))))))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_stanmarg.h:5300:24:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5300 |         stan::math::add(
      |         ~~~~~~~~~~~~~~~^
 5301 |           stan::model::deep_copy(
      |           ~~~~~~~~~~~~~~~~~~~~~~~
 5302 |             stan::model::rvalue(out, "out", stan::model::index_uni(grpidx),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5303 |               stan::model::index_omni(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~
 5304 |               stan::model::index_min_max(2, (p + 1)))), T2pat),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_column_vector_or_scalar.hpp:87:69:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   87 |       [](auto&& x) { return T_map(x.data(), x.size()).array().matrix(); },
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:172:35:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<std::integral_constant<bool, stan::math::conjunction<stan::is_std_vector<typename std::decay<_Tp>::type, void>, stan::is_stan_scalar<typename stan::value_type<T, void>::type> >::value>::value, void>::type>::reduce(T2&&, F&&) [with T2 = std::vector<double>; F = stan::math::mean<std::vector<double> >(std::vector<double>&&)::<lambda(auto:249&&)>; T = std::vector<double>]’
  172 |         as_column_vector_or_scalar(std::forward<T2>(x)), std::forward<F>(f));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mean.hpp:24:39:   required from ‘stan::return_type_t<T> stan::math::mean(T&&) [with T = std::vector<double>; stan::require_container_t<T1>* <anonymous> = 0; stan::return_type_t<T> = double]’
   24 |   return apply_vector_unary<T>::reduce(std::forward<T>(m),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
   25 |                                        [](auto&& a) { return a.mean(); });
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23186:54:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23186 |                                      stan::math::mean(
      |                                      ~~~~~~~~~~~~~~~~^
23187 |                                        stan::model::rvalue(YXstar, "YXstar",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23188 |                                          stan::model::index_min_max(r1, r2),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23189 |                                          stan::model::index_uni(jj))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, std::vector<double, std::allocator<double> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, std::vector<double, std::allocator<double> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, std::vector<double, std::allocator<double> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<stan::math::Holder<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, std::vector<double, std::allocator<double> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<stan::math::Holder<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, std::vector<double, std::allocator<double> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:148:7:   required from ‘class stan::math::Holder<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, std::vector<double, std::allocator<double> > >’
  148 | class Holder
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:398:16:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  398 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:172:35:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<std::integral_constant<bool, stan::math::conjunction<stan::is_std_vector<typename std::decay<_Tp>::type, void>, stan::is_stan_scalar<typename stan::value_type<T, void>::type> >::value>::value, void>::type>::reduce(T2&&, F&&) [with T2 = std::vector<double>; F = stan::math::mean<std::vector<double> >(std::vector<double>&&)::<lambda(auto:249&&)>; T = std::vector<double>]’
  172 |         as_column_vector_or_scalar(std::forward<T2>(x)), std::forward<F>(f));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mean.hpp:24:39:   required from ‘stan::return_type_t<T> stan::math::mean(T&&) [with T = std::vector<double>; stan::require_container_t<T1>* <anonymous> = 0; stan::return_type_t<T> = double]’
   24 |   return apply_vector_unary<T>::reduce(std::forward<T>(m),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
   25 |                                        [](auto&& a) { return a.mean(); });
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23186:54:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23186 |                                      stan::math::mean(
      |                                      ~~~~~~~~~~~~~~~~^
23187 |                                        stan::model::rvalue(YXstar, "YXstar",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23188 |                                          stan::model::index_min_max(r1, r2),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23189 |                                          stan::model::index_uni(jj))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:491:21:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  491 |         return x_ref(
      |                ~~~~~^
  492 |             (vec_map(row_idx_inner.ns_.data(), row_idx_inner.ns_.size()) - 1),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             col_idx.n_ - 1);
      |             ~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:488:33:   required from ‘auto stan::model::rvalue(EigMat&&, const char*, MultiIndex&&, index_uni) [with EigMat = Eigen::Matrix<double, -1, -1>&; MultiIndex = index_multi; stan::require_eigen_dense_dynamic_t<M>* <anonymous> = 0; stan::require_same_t<MultiIndex, index_multi>* <anonymous> = 0]’
  488 |   return stan::math::make_holder(
      |          ~~~~~~~~~~~~~~~~~~~~~~~^
  489 |       [col_idx](auto&& x_ref, auto&& row_idx_inner) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  490 |         using vec_map = Eigen::Map<const Eigen::Array<int, -1, 1>>;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  491 |         return x_ref(
      |         ~~~~~~~~~~~~~            
  492 |             (vec_map(row_idx_inner.ns_.data(), row_idx_inner.ns_.size()) - 1),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             col_idx.n_ - 1);
      |             ~~~~~~~~~~~~~~~~     
  494 |       },
      |       ~~                         
  495 |       stan::math::to_ref(std::forward<EigMat>(x)),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  496 |       std::forward<MultiIndex>(row_idx));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5863:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5863 |           stan::model::rvalue(B_tilde, "B_tilde",
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
 5864 |             stan::model::index_multi(bidx), stan::model::index_uni(1))),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:148:7:   required from ‘class stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>’
  148 | class Holder
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:398:16:   required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence<Is ...>, const std::tuple<Args* ...>&) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>; long unsigned int ...Is = {0}; Args = {stan::model::index_multi}; std::index_sequence<Is ...> = std::integer_sequence<long unsigned int, 0>]’
  398 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:416:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  416 |   return make_holder_impl_construct_object(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  418 |       std::make_index_sequence<std::tuple_size<decltype(ptrs)>::value>(), ptrs);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:488:33:   required from ‘auto stan::model::rvalue(EigMat&&, const char*, MultiIndex&&, index_uni) [with EigMat = Eigen::Matrix<double, -1, -1>&; MultiIndex = index_multi; stan::require_eigen_dense_dynamic_t<M>* <anonymous> = 0; stan::require_same_t<MultiIndex, index_multi>* <anonymous> = 0]’
  488 |   return stan::math::make_holder(
      |          ~~~~~~~~~~~~~~~~~~~~~~~^
  489 |       [col_idx](auto&& x_ref, auto&& row_idx_inner) {
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  490 |         using vec_map = Eigen::Map<const Eigen::Array<int, -1, 1>>;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  491 |         return x_ref(
      |         ~~~~~~~~~~~~~            
  492 |             (vec_map(row_idx_inner.ns_.data(), row_idx_inner.ns_.size()) - 1),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             col_idx.n_ - 1);
      |             ~~~~~~~~~~~~~~~~     
  494 |       },
      |       ~~                         
  495 |       stan::math::to_ref(std::forward<EigMat>(x)),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  496 |       std::forward<MultiIndex>(row_idx));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5863:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5863 |           stan::model::rvalue(B_tilde, "B_tilde",
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
 5864 |             stan::model::index_multi(bidx), stan::model::index_uni(1))),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13:   required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]’
  107 |   return m1 * m2;
      |          ~~~^~~~
stanExports_stanmarg.h:5999:39:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~^~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13:   required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Mat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]’
  107 |   return m1 * m2;
      |          ~~~^~~~
stanExports_stanmarg.h:5998:37:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~^
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13:   required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 - m2;
      |          ~~~^~~~
stanExports_stanmarg.h:5997:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; Idxs = {index_uni, index_min_max}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6138:42:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6138 |                       stan::model::rvalue(Wp, "Wp",
      |                       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
 6139 |                         stan::model::index_uni(p),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6140 |                         stan::model::index_uni(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~
 6141 |                           stan::model::rvalue(bpos, "bpos",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6142 |                             stan::model::index_uni(bb))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6143 |                         stan::model::index_min_max(1, no)), resid)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13:   required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]’
  107 |   return m1 * m2;
      |          ~~~^~~~
stanExports_stanmarg.h:6262:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6262 |               stan::math::multiply(
      |               ~~~~~~~~~~~~~~~~~~~~^
 6263 |                 stan::model::rvalue(Zp, "Zp", stan::model::index_uni(q),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6264 |                   stan::model::index_min_max(1, noz),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6265 |                   stan::model::index_min_max(1, noz)), zresid)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13:   required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; Mat2 = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]’
  107 |   return m1 * m2;
      |          ~~~^~~~
stanExports_stanmarg.h:6255:33:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6255 |             stan::math::multiply(
      |             ~~~~~~~~~~~~~~~~~~~~^
 6256 |               stan::model::rvalue(Sigma_yz, "Sigma_yz",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6257 |                 stan::model::index_multi(both_local),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6258 |                 stan::model::index_multi(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~
 6259 |                   stan::model::rvalue(zpatt_obsidx, "zpatt_obsidx",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6260 |                     stan::model::index_uni(q),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6261 |                     stan::model::index_min_max(1, noz)))),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6262 |               stan::math::multiply(
      |               ~~~~~~~~~~~~~~~~~~~~~
 6263 |                 stan::model::rvalue(Zp, "Zp", stan::model::index_uni(q),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6264 |                   stan::model::index_min_max(1, noz),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6265 |                   stan::model::index_min_max(1, noz)), zresid)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_stanmarg.h:6329:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6329 |           stan::math::add(I_nb,
      |           ~~~~~~~~~~~~~~~^~~~~~
 6330 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6331 |               stan::model::rvalue(A_j, "A_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13:   required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]’
  107 |   return m1 * m2;
      |          ~~~^~~~
stanExports_stanmarg.h:4136:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4136 |           stan::math::multiply(Sigma_yz, stan::math::transpose(Sigma_yz_zi))),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13:   required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 - m2;
      |          ~~~^~~~
stanExports_stanmarg.h:4135:29:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4135 |         stan::math::subtract(Sigma_b,
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
 4136 |           stan::math::multiply(Sigma_yz, stan::math::transpose(Sigma_yz_zi))),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/append_row.hpp:47:52:   required from ‘auto stan::math::append_row(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, 1>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0]’
   47 |   result.topRows(Arows) = A.template cast<T_return>();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:4145:56:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4145 |     stan::model::assign(Mu_full, stan::math::append_row(Mu_z, Mu_y),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Mat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_stanmarg.h:4254:24:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4254 |         stan::math::add(
      |         ~~~~~~~~~~~~~~~^
 4255 |           stan::math::multiply(static_cast<double>(nj), Sigma_b_z), Sigma_w),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12:   required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; stan::require_stan_scalar_t<T1>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_all_not_complex_t<Scal, typename stan::value_type<S, void>::type>* <anonymous> = 0]’
   84 |   return c * m;
      |          ~~^~~
stanExports_stanmarg.h:4274:33:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_stanmarg.h:4273:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4273 |           stan::math::add(Sigma_zz_inv,
      |           ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25:   required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   28 |   return m1.cwiseProduct(m2);
      |          ~~~~~~~~~~~~~~~^~~~
stanExports_stanmarg.h:4278:56:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4278 |         q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz));
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:210:20:   required from ‘stan::math::operator-<const Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>&, const Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>&>(const Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>&, const Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>&)::<lambda(auto:3&&, auto:4&&)> [with auto:3 = const Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>&; auto:4 = const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>&]’
  210 |         return arg - std::forward<decltype(other_)>(other_);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13:   required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; Mat2 = Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 - m2;
      |          ~~~^~~~
stanExports_stanmarg.h:4309:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4309 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~^
 4310 |                 stan::model::rvalue(YX, "YX",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4311 |                   stan::model::index_uni(((r1 - 1) + i)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4312 |                   stan::model::index_multi(notbidx)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4313 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4314 |                   stan::model::index_uni(clz),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4315 |                   stan::model::index_multi(uord_notbidx))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:28:12:   required from ‘auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Scal = double; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0; stan::require_all_not_complex_t<Scal, typename stan::value_type<T, void>::type>* <anonymous> = 0]’
   28 |   return c * m;
      |          ~~^~~
stanExports_stanmarg.h:4345:29:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4345 |         stan::math::multiply(
      |         ~~~~~~~~~~~~~~~~~~~~^
 4346 |           stan::math::subtract(nperclus, stan::math::to_vector(clus_size_ns)),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4347 |           stan::math::sum(stan::math::elt_multiply(Sigma_w_inv, S_PW))),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Mat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_stanmarg.h:4360:28:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4360 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~^
 4361 |               stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4362 |               stan::math::elt_multiply(B, stan::math::to_vector(clus_size_ns))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_stanmarg.h:4359:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4359 |           stan::math::add(
      |           ~~~~~~~~~~~~~~~^
 4360 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~~
 4361 |               stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4362 |               stan::math::elt_multiply(B, stan::math::to_vector(clus_size_ns))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4363 |             q_W), L_W)), "assigning variable loglik");
      |             ~~~~          
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_stanmarg.h:4358:24:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4358 |         stan::math::add(
      |         ~~~~~~~~~~~~~~~^
 4359 |           stan::math::add(
      |           ~~~~~~~~~~~~~~~~
 4360 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~~
 4361 |               stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4362 |               stan::math::elt_multiply(B, stan::math::to_vector(clus_size_ns))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4363 |             q_W), L_W)), "assigning variable loglik");
      |             ~~~~~~~~~~  
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12:   required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; stan::require_stan_scalar_t<T1>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_all_not_complex_t<Scal, typename stan::value_type<S, void>::type>* <anonymous> = 0]’
   84 |   return c * m;
      |          ~~^~~
stanExports_stanmarg.h:4357:27:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4357 |       stan::math::multiply(-(.5),
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~
 4358 |         stan::math::add(
      |         ~~~~~~~~~~~~~~~~   
 4359 |           stan::math::add(
      |           ~~~~~~~~~~~~~~~~ 
 4360 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~~
 4361 |               stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4362 |               stan::math::elt_multiply(B, stan::math::to_vector(clus_size_ns))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4363 |             q_W), L_W)), "assigning variable loglik");
      |             ~~~~~~~~~~~    
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Mat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_stanmarg.h:4366:22:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4366 |       stan::math::add(
      |       ~~~~~~~~~~~~~~~^
 4367 |         stan::math::multiply(nperclus,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4368 |           static_cast<double>((N_within + N_both))),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4369 |         stan::math::multiply(stan::math::to_vector(clus_size_ns),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4370 |           static_cast<double>(N_between))), "assigning variable P");
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12:   required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; stan::require_stan_scalar_t<T1>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_all_not_complex_t<Scal, typename stan::value_type<S, void>::type>* <anonymous> = 0]’
   84 |   return c * m;
      |          ~~^~~
stanExports_stanmarg.h:4374:29:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4374 |         stan::math::multiply(-(.5),
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~
 4375 |           stan::math::multiply(P, stan::math::log((2 * stan::math::pi()))))),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, 1>; Mat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_stanmarg.h:4373:22:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4373 |       stan::math::add(stan::model::deep_copy(loglik),
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4374 |         stan::math::multiply(-(.5),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4375 |           stan::math::multiply(P, stan::math::log((2 * stan::math::pi()))))),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:44:38:   required from ‘struct stan::ref_type_if<true, const Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>&, void>’
   44 |               template match<T_dec>::MatchAtCompileTime
      |                                      ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:56:7:   required by substitution of ‘template<class T> using stan::ref_type_t = typename stan::ref_type_if<true, T>::type [with T = const Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>&]’
   56 | using ref_type_t = typename ref_type_if<true, T>::type;
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:24:   required by substitution of ‘template<class T, stan::math::require_not_tuple_t<T>* <anonymous> > stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>&; stan::math::require_not_tuple_t<T>* <anonymous> = 0]’
   18 | inline ref_type_t<T&&> to_ref(T&& a) {
      |                        ^~~~~~
stanExports_stanmarg.h:6435:40:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Matrix<double, -1, -1>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6435 |   const auto& xbar = stan::math::to_ref(xbar_arg__);
      |                      ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
stanExports_stanmarg.h:23823:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23823 |                     multi_normal_suff(
      |                     ~~~~~~~~~~~~~~~~~^
23824 |                       stan::model::rvalue(YXstar, "YXstar",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23825 |                         stan::model::index_uni(jj),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23826 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23827 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23828 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23829 |                       stan::model::rvalue(zmat, "zmat",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23830 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23831 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23832 |                             stan::model::index_uni(mm))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23833 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23834 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23835 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23836 |                       stan::model::rvalue(Mu, "Mu",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23837 |                         stan::model::index_uni(grpidx),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23838 |                         stan::model::index_multi(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~
23839 |                           stan::model::rvalue(obsidx, "obsidx",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23840 |                             stan::model::index_min_max(1,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23841 |                               stan::model::rvalue(Nobs, "Nobs",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23842 |                                 stan::model::index_uni(mm)))))),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23843 |                       stan::model::rvalue(Sigmainv, "Sigmainv",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23844 |                         stan::model::index_uni(mm)), 1, pstream__),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:44:38:   required from ‘struct stan::ref_type_if<true, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>&, void>’
   44 |               template match<T_dec>::MatchAtCompileTime
      |                                      ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:56:7:   required by substitution of ‘template<class T> using stan::ref_type_t = typename stan::ref_type_if<true, T>::type [with T = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>&]’
   56 | using ref_type_t = typename ref_type_if<true, T>::type;
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:24:   required by substitution of ‘template<class T, stan::math::require_not_tuple_t<T>* <anonymous> > stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>&; stan::math::require_not_tuple_t<T>* <anonymous> = 0]’
   18 | inline ref_type_t<T&&> to_ref(T&& a) {
      |                        ^~~~~~
stanExports_stanmarg.h:6436:37:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Matrix<double, -1, -1>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6436 |   const auto& S = stan::math::to_ref(S_arg__);
      |                   ~~~~~~~~~~~~~~~~~~^~~~~~~~~
stanExports_stanmarg.h:23823:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23823 |                     multi_normal_suff(
      |                     ~~~~~~~~~~~~~~~~~^
23824 |                       stan::model::rvalue(YXstar, "YXstar",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23825 |                         stan::model::index_uni(jj),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23826 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23827 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23828 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23829 |                       stan::model::rvalue(zmat, "zmat",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23830 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23831 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23832 |                             stan::model::index_uni(mm))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23833 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23834 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23835 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23836 |                       stan::model::rvalue(Mu, "Mu",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23837 |                         stan::model::index_uni(grpidx),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23838 |                         stan::model::index_multi(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~
23839 |                           stan::model::rvalue(obsidx, "obsidx",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23840 |                             stan::model::index_min_max(1,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23841 |                               stan::model::rvalue(Nobs, "Nobs",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23842 |                                 stan::model::index_uni(mm)))))),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23843 |                       stan::model::rvalue(Sigmainv, "Sigmainv",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23844 |                         stan::model::index_uni(mm)), 1, pstream__),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13:   required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 - m2;
      |          ~~~^~~~
stanExports_stanmarg.h:6459:56:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Matrix<double, -1, -1>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |                                    ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
stanExports_stanmarg.h:23823:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23823 |                     multi_normal_suff(
      |                     ~~~~~~~~~~~~~~~~~^
23824 |                       stan::model::rvalue(YXstar, "YXstar",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23825 |                         stan::model::index_uni(jj),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23826 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23827 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23828 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23829 |                       stan::model::rvalue(zmat, "zmat",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23830 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23831 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23832 |                             stan::model::index_uni(mm))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23833 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23834 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23835 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23836 |                       stan::model::rvalue(Mu, "Mu",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23837 |                         stan::model::index_uni(grpidx),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23838 |                         stan::model::index_multi(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~
23839 |                           stan::model::rvalue(obsidx, "obsidx",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23840 |                             stan::model::index_min_max(1,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23841 |                               stan::model::rvalue(Nobs, "Nobs",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23842 |                                 stan::model::index_uni(mm)))))),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23843 |                       stan::model::rvalue(Sigmainv, "Sigmainv",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23844 |                         stan::model::index_uni(mm)), 1, pstream__),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/transpose.hpp:18:21:   required from ‘auto stan::math::transpose(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >; stan::require_matrix_t<T>* <anonymous> = 0]’
   18 |   return m.transpose();
      |          ~~~~~~~~~~~^~
stanExports_stanmarg.h:6460:38:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Matrix<double, -1, -1>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23823:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23823 |                     multi_normal_suff(
      |                     ~~~~~~~~~~~~~~~~~^
23824 |                       stan::model::rvalue(YXstar, "YXstar",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23825 |                         stan::model::index_uni(jj),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23826 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23827 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23828 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23829 |                       stan::model::rvalue(zmat, "zmat",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23830 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23831 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23832 |                             stan::model::index_uni(mm))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23833 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23834 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23835 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23836 |                       stan::model::rvalue(Mu, "Mu",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23837 |                         stan::model::index_uni(grpidx),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23838 |                         stan::model::index_multi(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~
23839 |                           stan::model::rvalue(obsidx, "obsidx",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23840 |                             stan::model::index_min_max(1,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23841 |                               stan::model::rvalue(Nobs, "Nobs",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23842 |                                 stan::model::index_uni(mm)))))),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23843 |                       stan::model::rvalue(Sigmainv, "Sigmainv",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23844 |                         stan::model::index_uni(mm)), 1, pstream__),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13:   required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >; Mat2 = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]’
  107 |   return m1 * m2;
      |          ~~~^~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Matrix<double, -1, -1>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23823:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23823 |                     multi_normal_suff(
      |                     ~~~~~~~~~~~~~~~~~^
23824 |                       stan::model::rvalue(YXstar, "YXstar",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23825 |                         stan::model::index_uni(jj),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23826 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23827 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23828 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23829 |                       stan::model::rvalue(zmat, "zmat",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23830 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23831 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23832 |                             stan::model::index_uni(mm))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23833 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23834 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23835 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23836 |                       stan::model::rvalue(Mu, "Mu",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23837 |                         stan::model::index_uni(grpidx),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23838 |                         stan::model::index_multi(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~
23839 |                           stan::model::rvalue(obsidx, "obsidx",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23840 |                             stan::model::index_min_max(1,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23841 |                               stan::model::rvalue(Nobs, "Nobs",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23842 |                                 stan::model::index_uni(mm)))))),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23843 |                       stan::model::rvalue(Sigmainv, "Sigmainv",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23844 |                         stan::model::index_uni(mm)), 1, pstream__),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Mat2 = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_stanmarg.h:6458:28:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Matrix<double, -1, -1>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6458 |             stan::math::add(S,
      |             ~~~~~~~~~~~~~~~^~~
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23823:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23823 |                     multi_normal_suff(
      |                     ~~~~~~~~~~~~~~~~~^
23824 |                       stan::model::rvalue(YXstar, "YXstar",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23825 |                         stan::model::index_uni(jj),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23826 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23827 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23828 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23829 |                       stan::model::rvalue(zmat, "zmat",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23830 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23831 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23832 |                             stan::model::index_uni(mm))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23833 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23834 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23835 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23836 |                       stan::model::rvalue(Mu, "Mu",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23837 |                         stan::model::index_uni(grpidx),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23838 |                         stan::model::index_multi(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~
23839 |                           stan::model::rvalue(obsidx, "obsidx",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23840 |                             stan::model::index_min_max(1,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23841 |                               stan::model::rvalue(Nobs, "Nobs",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23842 |                                 stan::model::index_uni(mm)))))),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23843 |                       stan::model::rvalue(Sigmainv, "Sigmainv",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23844 |                         stan::model::index_uni(mm)), 1, pstream__),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25:   required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Mat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   28 |   return m1.cwiseProduct(m2);
      |          ~~~~~~~~~~~~~~~^~~~
stanExports_stanmarg.h:6454:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Matrix<double, -1, -1>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6454 |           stan::math::elt_multiply(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^
 6455 |             stan::model::rvalue(Supdate, "Supdate",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6456 |               stan::model::index_min_max(1, Nobs),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6457 |               stan::model::index_min_max(1, Nobs)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6458 |             stan::math::add(S,
      |             ~~~~~~~~~~~~~~~~~~     
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23823:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23823 |                     multi_normal_suff(
      |                     ~~~~~~~~~~~~~~~~~^
23824 |                       stan::model::rvalue(YXstar, "YXstar",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23825 |                         stan::model::index_uni(jj),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23826 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23827 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23828 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23829 |                       stan::model::rvalue(zmat, "zmat",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23830 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23831 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23832 |                             stan::model::index_uni(mm))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23833 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23834 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23835 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23836 |                       stan::model::rvalue(Mu, "Mu",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23837 |                         stan::model::index_uni(grpidx),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23838 |                         stan::model::index_multi(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~
23839 |                           stan::model::rvalue(obsidx, "obsidx",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23840 |                             stan::model::index_min_max(1,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23841 |                               stan::model::rvalue(Nobs, "Nobs",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23842 |                                 stan::model::index_uni(mm)))))),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23843 |                       stan::model::rvalue(Sigmainv, "Sigmainv",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23844 |                         stan::model::index_uni(mm)), 1, pstream__),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:383:19:   required from ‘auto stan::model::rvalue(Mat&&, const char*, index_min_max, index_min_max) [with Mat = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>&; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
  383 |     return x.block(row_idx.min_ - 1, col_idx.min_ - 1,
      |            ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  384 |                    row_idx.max_ - (row_idx.min_ - 1),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  385 |                    col_idx.max_ - (col_idx.min_ - 1));
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6455:32:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T1__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6455 |             stan::model::rvalue(Supdate, "Supdate",
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
 6456 |               stan::model::index_min_max(1, Nobs),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6457 |               stan::model::index_min_max(1, Nobs)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23858:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23858 |                       multi_normal_suff(
      |                       ~~~~~~~~~~~~~~~~~^
23859 |                         stan::model::rvalue(YXstar, "YXstar",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23860 |                           stan::model::index_uni(jj),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23861 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
23862 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23863 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23864 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23865 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23866 |                         stan::model::rvalue(zmat, "zmat",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23867 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23868 |                             stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23869 |                               stan::model::index_uni(mm))),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23870 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23871 |                             stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23872 |                               stan::model::index_uni(mm)))),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23873 |                         stan::model::rvalue(Mu, "Mu",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23874 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23875 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
23876 |                             stan::model::rvalue(xidx, "xidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23877 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23878 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23879 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23880 |                         stan::model::rvalue(Sigmainv_patt, "Sigmainv_patt",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23881 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23882 |                             (stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23883 |                                stan::model::index_uni(mm)) + 1)),
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23884 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23885 |                             (stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23886 |                                stan::model::index_uni(mm)) + 1))), 1,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23887 |                         pstream__))), "assigning variable log_lik",
      |                         ~~~~~~~~~~      
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13:   required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Mat2 = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]’
  107 |   return m1 * m2;
      |          ~~~^~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T1__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23858:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23858 |                       multi_normal_suff(
      |                       ~~~~~~~~~~~~~~~~~^
23859 |                         stan::model::rvalue(YXstar, "YXstar",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23860 |                           stan::model::index_uni(jj),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23861 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
23862 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23863 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23864 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23865 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23866 |                         stan::model::rvalue(zmat, "zmat",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23867 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23868 |                             stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23869 |                               stan::model::index_uni(mm))),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23870 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23871 |                             stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23872 |                               stan::model::index_uni(mm)))),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23873 |                         stan::model::rvalue(Mu, "Mu",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23874 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23875 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
23876 |                             stan::model::rvalue(xidx, "xidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23877 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23878 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23879 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23880 |                         stan::model::rvalue(Sigmainv_patt, "Sigmainv_patt",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23881 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23882 |                             (stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23883 |                                stan::model::index_uni(mm)) + 1)),
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23884 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23885 |                             (stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23886 |                                stan::model::index_uni(mm)) + 1))), 1,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23887 |                         pstream__))), "assigning variable log_lik",
      |                         ~~~~~~~~~~      
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Mat2 = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_stanmarg.h:6458:28:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T1__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6458 |             stan::math::add(S,
      |             ~~~~~~~~~~~~~~~^~~
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23858:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23858 |                       multi_normal_suff(
      |                       ~~~~~~~~~~~~~~~~~^
23859 |                         stan::model::rvalue(YXstar, "YXstar",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23860 |                           stan::model::index_uni(jj),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23861 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
23862 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23863 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23864 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23865 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23866 |                         stan::model::rvalue(zmat, "zmat",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23867 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23868 |                             stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23869 |                               stan::model::index_uni(mm))),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23870 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23871 |                             stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23872 |                               stan::model::index_uni(mm)))),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23873 |                         stan::model::rvalue(Mu, "Mu",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23874 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23875 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
23876 |                             stan::model::rvalue(xidx, "xidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23877 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23878 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23879 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23880 |                         stan::model::rvalue(Sigmainv_patt, "Sigmainv_patt",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23881 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23882 |                             (stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23883 |                                stan::model::index_uni(mm)) + 1)),
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23884 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23885 |                             (stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23886 |                                stan::model::index_uni(mm)) + 1))), 1,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23887 |                         pstream__))), "assigning variable log_lik",
      |                         ~~~~~~~~~~      
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25:   required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Mat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   28 |   return m1.cwiseProduct(m2);
      |          ~~~~~~~~~~~~~~~^~~~
stanExports_stanmarg.h:6454:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T1__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6454 |           stan::math::elt_multiply(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^
 6455 |             stan::model::rvalue(Supdate, "Supdate",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6456 |               stan::model::index_min_max(1, Nobs),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6457 |               stan::model::index_min_max(1, Nobs)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6458 |             stan::math::add(S,
      |             ~~~~~~~~~~~~~~~~~~     
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23858:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23858 |                       multi_normal_suff(
      |                       ~~~~~~~~~~~~~~~~~^
23859 |                         stan::model::rvalue(YXstar, "YXstar",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23860 |                           stan::model::index_uni(jj),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23861 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
23862 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23863 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23864 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23865 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23866 |                         stan::model::rvalue(zmat, "zmat",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23867 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23868 |                             stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23869 |                               stan::model::index_uni(mm))),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23870 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23871 |                             stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23872 |                               stan::model::index_uni(mm)))),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23873 |                         stan::model::rvalue(Mu, "Mu",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23874 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23875 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
23876 |                             stan::model::rvalue(xidx, "xidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23877 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23878 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23879 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23880 |                         stan::model::rvalue(Sigmainv_patt, "Sigmainv_patt",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23881 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23882 |                             (stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23883 |                                stan::model::index_uni(mm)) + 1)),
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23884 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23885 |                             (stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23886 |                                stan::model::index_uni(mm)) + 1))), 1,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23887 |                         pstream__))), "assigning variable log_lik",
      |                         ~~~~~~~~~~      
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49:   required from here
  106 |     return x.cwiseAbs().rowwise().sum().maxCoeff();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long int]’
  203 |     PanelType panel(m_arg,
      |               ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:251:78:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Scalar = double]’
  251 |       PacketScalar packet_res0 = eval.template packet<alignment,PacketScalar>(alignedStart);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49:   required from here
  106 |     return x.cwiseAbs().rowwise().sum().maxCoeff();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long int]’
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:251:78:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Scalar = double]’
  251 |       PacketScalar packet_res0 = eval.template packet<alignment,PacketScalar>(alignedStart);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49:   required from here
  106 |     return x.cwiseAbs().rowwise().sum().maxCoeff();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:268:34:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Scalar = double]’
  268 |         res = func(res,eval.coeff(index));
      |                        ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49:   required from here
  106 |     return x.cwiseAbs().rowwise().sum().maxCoeff();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
  100 |       pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
  113 |           gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |                (std::min)(size,i2), alpha, -1, -1, 0, 0);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]’
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:49:27:   required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::hypergeometric_pFq(Ta&&, Tb&&, Tz&&) [with Ta = Eigen::Matrix<double, 2, 1>&; Tb = Eigen::Matrix<double, 1, 1, 0, 1, 1>&; Tz = const double&; stan::require_all_vector_st<std::is_arithmetic, Ta, Tb>* <anonymous> = 0; stan::require_arithmetic_t<Tz>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
   49 |           << to_row_vector(a_ref) << ", "
      |              ~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:190:30:   required from ‘stan::return_type_t<T_x1, T_x2, T_sigma, T_l> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<T_x1, T_x2, T_sigma, T_l> = double]’
  190 |     return hypergeometric_pFq(a_args, b_args, z);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:192:39:   required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
  192 |       auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
      |                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:308:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
  308 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  309 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_reg_inc_beta.hpp:50:25:   required from ‘void stan::math::grad_reg_inc_beta(T&, T&, const T&, const T&, const T&, const T&, const T&, const T&, const T&) [with T = double]’
   50 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inc_beta.hpp:26:22:   required from here
   26 |     grad_reg_inc_beta(d_a, d_b, avi_->val_, bvi_->val_, cvi_->val_,
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   27 |                       digamma(avi_->val_), digamma(bvi_->val_),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                       digamma(avi_->val_ + bvi_->val_), beta_ab);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:50:36:   required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::hypergeometric_pFq(Ta&&, Tb&&, Tz&&) [with Ta = Eigen::Matrix<double, 2, 1>&; Tb = Eigen::Matrix<double, 1, 1, 0, 1, 1>&; Tz = const double&; stan::require_all_vector_st<std::is_arithmetic, Ta, Tb>* <anonymous> = 0; stan::require_arithmetic_t<Tz>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
   50 |           << "b: " << to_row_vector(b_ref) << ", "
      |                       ~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:190:30:   required from ‘stan::return_type_t<T_x1, T_x2, T_sigma, T_l> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<T_x1, T_x2, T_sigma, T_l> = double]’
  190 |     return hypergeometric_pFq(a_args, b_args, z);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:192:39:   required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
  192 |       auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
      |                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:308:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
  308 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  309 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_reg_inc_beta.hpp:50:25:   required from ‘void stan::math::grad_reg_inc_beta(T&, T&, const T&, const T&, const T&, const T&, const T&, const T&, const T&) [with T = double]’
   50 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inc_beta.hpp:26:22:   required from here
   26 |     grad_reg_inc_beta(d_a, d_b, avi_->val_, bvi_->val_, cvi_->val_,
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   27 |                       digamma(avi_->val_), digamma(bvi_->val_),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                       digamma(avi_->val_ + bvi_->val_), beta_ab);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/variance.hpp:29:37:   required from here
   29 |   double variance = diff.squaredNorm() / size_m1;
      |                     ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  325 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  325 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  352 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
      |                                   ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  358 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
      |                                                                     ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  358 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  359 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
      |                              ~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  361 |           A21.noalias() -= A20 * temp.head(k);
      |                            ~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  379 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  387 |         ret = ret && (A21.array()==Scalar(0)).all();
      |                       ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:32:43:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t) [with T_CPCs = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0; typename stan::value_type<T>::type = double; size_t = long unsigned int]’
   32 |   return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K));
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:45:26:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::corr_matrix_constrain(T&&, Eigen::Index) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double; Eigen::Index = long int]’
   45 |   return read_corr_matrix(corr_constrain(std::forward<T>(x)), k);
      |          ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:151:33:   required from ‘auto stan::math::corr_matrix_constrain(T&&, Eigen::Index, Lp&) [with bool Jacobian = false; T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lp = double; stan::require_convertible_t<typename stan::return_type<T2>::type, Lp>* <anonymous> = 0; Eigen::Index = long int]’
  151 |     return corr_matrix_constrain(std::forward<T>(x), k);
      |            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:972:55:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix<double, -1, -1>; bool Jacobian = false; LP = double; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; stan::require_matrix_t<S>* <anonymous> = 0; T = double; Eigen::Index = long int]’
  972 |     return stan::math::corr_matrix_constrain<Jacobian>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  973 |         this->read<conditional_var_val_t<Ret, vector_t>>((k * (k - 1)) / 2), k,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  974 |         lp);
      |         ~~~                                            
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:1001:72:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector<Eigen::Matrix<double, -1, -1> >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t<U>* <anonymous> = 0; T = double; size_t = long unsigned int]’
 1001 |           this->read_constrain_corr_matrix<value_type_t<Ret>, Jacobian>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1002 |               lp, sizes...));
      |               ~~~~~~~~~~~~~                                             
stanExports_stanmarg.h:20468:22:   required from here
20466 |         in__.template read_constrain_corr_matrix<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20467 |           std::vector<Eigen::Matrix<local_scalar_t__,-1,-1>>,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20468 |           jacobian__>(lp__, Theta_r_mat_1_1dim__, Theta_r_mat_1_3dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:33:27:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   33 |   sds = Sigma_ref.diagonal().array();
      |         ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:33:35:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   33 |   sds = Sigma_ref.diagonal().array();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:37:17:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   37 |   sds = sds.sqrt();
      |         ~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:40:29:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   40 |   D.diagonal() = sds.inverse();
      |                  ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:43:65:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   43 |   Eigen::Matrix<T_scalar, Eigen::Dynamic, Eigen::Dynamic> R = D * Sigma_ref * D;
      |                                                               ~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix<double, -1, -1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix<double, -1, -1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix<double, -1, -1>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix<double, -1, -1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix<double, -1, -1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:43:77:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   43 |   Eigen::Matrix<T_scalar, Eigen::Dynamic, Eigen::Dynamic> R = D * Sigma_ref * D;
      |                                                               ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:77:13:   required from ‘auto stan::math::add(Scal, const Mat&) [with Scal = double; Mat = Eigen::Matrix<double, -1, 1>; stan::require_stan_scalar_t<T1>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   77 |   return (c + m.array()).matrix();
      |          ~~~^~~~~~~~~~~~
stanExports_stanmarg.h:17715:44:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17715 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
17716 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:77:32:   required from ‘auto stan::math::add(Scal, const Mat&) [with Scal = double; Mat = Eigen::Matrix<double, -1, 1>; stan::require_stan_scalar_t<T1>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
   77 |   return (c + m.array()).matrix();
      |          ~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:17715:44:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17715 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
17716 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12:   required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; stan::require_stan_scalar_t<T1>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_all_not_complex_t<Scal, typename stan::value_type<S, void>::type>* <anonymous> = 0]’
   84 |   return c * m;
      |          ~~^~~
stanExports_stanmarg.h:17714:47:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17714 |                           stan::math::multiply(.5,
      |                           ~~~~~~~~~~~~~~~~~~~~^~~~
17715 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17716 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~~   
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:254:23:   required from ‘int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]’
  254 |     x1.noalias() = x0 + alpha1 * p;
      |                    ~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:202:28:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  202 |           = WolfeLineSearch(_func, _alpha, _xk_1, _fk_1, _gk_1, _pk, _xk, _fk,
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |                             _gk, _ls_opts.c1, _ls_opts.c2, _ls_opts.minAlpha,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  204 |                             _ls_opts.maxLSIts, _ls_opts.maxLSRestarts);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   34 |         = HessianT::Identity(yk.size(), yk.size()) - rhok * sk * yk.transpose();
      |                                                      ~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   34 |         = HessianT::Identity(yk.size(), yk.size()) - rhok * sk * yk.transpose();
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20:   required from ‘void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   55 |     pk.noalias() = -(_Hk * gk);
      |                    ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:25:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  247 |     _qn.search_direction(_pk, _gk);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp: In instantiation of ‘auto stan::model::rvalue(EigMat&&, const char*, RowMultiIndex&&, ColMultiIndex&&) [with EigMat = const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>&; RowMultiIndex = index_multi; ColMultiIndex = index_multi; stan::require_eigen_dense_dynamic_t<M>* <anonymous> = 0; stan::require_same_t<MultiIndex, index_multi>* <anonymous> = 0; stan::require_same_t<ColMultiIndex, index_multi>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:733:16:   required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, Idxs&& ...) [with StdVec = const std::vector<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >; Idxs = {index_multi, index_multi}; stan::require_std_vector_t<T>* <anonymous> = 0]’
  733 |   return rvalue(v[idx1.n_ - 1], name, std::forward<Idxs>(idxs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6569:28:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::return_type<typename stan::base_type<T7__, void>::type>::type>::type, -1, -1> > model_stanmarg_namespace::fill_cov(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >; T1__ = std::vector<std::vector<int> >; T2__ = std::vector<int>; T3__ = std::vector<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >; T4__ = std::vector<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >; T5__ = std::vector<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >; T6__ = std::vector<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >; T7__ = std::vector<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >; T8__ = std::vector<std::vector<int> >; T9__ = std::vector<std::vector<int> >; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_std_vector<typename stan::value_type<S, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<S, void>::type, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, stan::is_std_vector<T3, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T4__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T4__, void>::type>, stan::is_std_vector<T5, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T5__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T5__, void>::type>, stan::is_std_vector<T6, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T6__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T6__, void>::type>, stan::is_std_vector<T7, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T7__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T7__, void>::type>, stan::is_std_vector<T8__, void>, stan::is_std_vector<typename stan::value_type<T8__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T8__, void>::type, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::return_type<typename stan::base_type<T7__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::base_type<T4__, void>::type = stan::math::var_value<double>; typename stan::base_type<T6__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T7__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T7__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6569 |         stan::model::rvalue(covmat, "covmat", stan::model::index_uni(g),
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6570 |           stan::model::index_multi(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~
 6571 |             stan::model::rvalue(psiorder, "psiorder",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6572 |               stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6573 |           stan::model::index_multi(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~
 6574 |             stan::model::rvalue(psiorder, "psiorder",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6575 |               stan::model::index_uni(g)))), "assigning variable out",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:18709:19:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18709 |           fill_cov(stan::model::deep_copy(Theta_r), thetablkse, thetanblk,
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18710 |             Theta_r_mat_1, Theta_r_mat_2, Theta_r_mat_3, Theta_r_mat_4,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18711 |             Theta_r_mat_5, thetaorder, thetarevord, pstream__),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:520:22: warning: unused variable ‘rows’ [-Wunused-variable]
  520 |   const Eigen::Index rows = row_idx.ns_.size();
      |                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:521:22: warning: unused variable ‘cols’ [-Wunused-variable]
  521 |   const Eigen::Index cols = col_idx.ns_.size();
      |                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Inverse<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Inverse<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from ‘class Eigen::InverseImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::SolverStorage>’
   68 | class InverseImpl
      |       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from ‘class Eigen::Inverse<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> > >’
   43 | class Inverse : public InverseImpl<XprType,typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/log_determinant.hpp:24:53:   required from ‘stan::math::var stan::math::log_determinant(const T&) [with T = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_rev_matrix_t<T>* <anonymous> = 0; var = var_value<double>]’
   24 |   auto arena_m_inv_transpose = to_arena(m_hh.inverse().transpose());
      |                                         ~~~~~~~~~~~~^~
stanExports_stanmarg.h:19319:40:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19319 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19320 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Inverse<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Inverse<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Inverse<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Inverse<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Inverse<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/log_determinant.hpp:24:65:   required from ‘stan::math::var stan::math::log_determinant(const T&) [with T = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_rev_matrix_t<T>* <anonymous> = 0; var = var_value<double>]’
   24 |   auto arena_m_inv_transpose = to_arena(m_hh.inverse().transpose());
      |                                         ~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:19319:40:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19319 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19320 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/log_determinant.hpp:28:36:   required from ‘stan::math::var stan::math::log_determinant(const T&) [with T = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_rev_matrix_t<T>* <anonymous> = 0; var = var_value<double>]’
   28 |     arena_m.adj() += log_det.adj() * arena_m_inv_transpose;
      |                      ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19319:40:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19319 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19320 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >::val_Op, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >::val_Op, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >::val_Op, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >::val_Op, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >::val_Op, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:120:37:   required from ‘auto stan::math::subtract(const VarMat1&, const VarMat2&) [with VarMat1 = Holder<Eigen::IndexedView<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; VarMat2 = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  120 |   using op_ret_type = decltype(a.val() - b.val());
      |                                ~~~~~^~
stanExports_stanmarg.h:5399:29:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5399 |         stan::math::subtract(
      |         ~~~~~~~~~~~~~~~~~~~~^
 5400 |           stan::model::rvalue(Sigmainv, "Sigmainv",
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5401 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5402 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5403 |                 stan::model::index_min_max(1, Nobs))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5404 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5405 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5406 |                 stan::model::index_min_max(1, Nobs)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >::val_Op, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >::val_Op, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >::val_Op, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >::val_Op, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >::val_Op, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:121:9:   required from ‘auto stan::math::subtract(const VarMat1&, const VarMat2&) [with VarMat1 = Holder<Eigen::IndexedView<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; VarMat2 = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  121 |   using ret_type = return_var_matrix_t<op_ret_type, VarMat1, VarMat2>;
      |         ^~~~~~~~
stanExports_stanmarg.h:5399:29:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5399 |         stan::math::subtract(
      |         ~~~~~~~~~~~~~~~~~~~~^
 5400 |           stan::model::rvalue(Sigmainv, "Sigmainv",
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5401 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5402 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5403 |                 stan::model::index_min_max(1, Nobs))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5404 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5405 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5406 |                 stan::model::index_min_max(1, Nobs)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:124:40:   required from ‘auto stan::math::subtract(const VarMat1&, const VarMat2&) [with VarMat1 = Holder<Eigen::IndexedView<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; VarMat2 = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  124 |   arena_t<ret_type> ret((arena_a.val() - arena_b.val()));
      |                         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5399:29:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5399 |         stan::math::subtract(
      |         ~~~~~~~~~~~~~~~~~~~~^
 5400 |           stan::model::rvalue(Sigmainv, "Sigmainv",
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5401 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5402 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5403 |                 stan::model::index_min_max(1, Nobs))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5404 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5405 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5406 |                 stan::model::index_min_max(1, Nobs)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:121:9:   required from ‘auto stan::math::subtract(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; VarMat2 = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  121 |   using ret_type = return_var_matrix_t<op_ret_type, VarMat1, VarMat2>;
      |         ^~~~~~~~
stanExports_stanmarg.h:5997:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:9:   required from ‘auto stan::math::add(VarMat1&&, VarMat2&&) [with VarMat1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; VarMat2 = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  114 |   using ret_type = return_var_matrix_t<op_ret_type, VarMat1, VarMat2>;
      |         ^~~~~~~~
stanExports_stanmarg.h:6329:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6329 |           stan::math::add(I_nb,
      |           ~~~~~~~~~~~~~~~^~~~~~
 6330 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6331 |               stan::model::rvalue(A_j, "A_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)> [with auto:61 = const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>&]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)> [with auto:61 = const stan::math::arena_matrix<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >&]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:23:7:   required by substitution of ‘template<class T> using stan::plain_type_t = typename stan::plain_type<typename std::decay<_Tp>::type>::type [with T = const Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>]’
   23 | using plain_type_t = typename plain_type<std::decay_t<T>>::type;
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left.hpp:32:9:   required from ‘auto stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; T2 = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
   32 |   using ret_val_type = plain_type_t<decltype(value_of(A) * value_of(B))>;
      |         ^~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left.hpp:47:45:   required from ‘auto stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; T2 = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
   47 |     arena_t<ret_type> res = hqr_A_ptr->solve(arena_B.val());
      |                             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left.hpp:54:25:   required from ‘auto stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; T2 = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
   51 |             * hqr_A_ptr->matrixQR()
      |               ~~~~~~~~~~~~~~~~~~~~~
   52 |                   .template triangularView<Eigen::Upper>()
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   53 |                   .transpose()
      |                   ~~~~~~~~~~~~
   54 |                   .solve(res.adj());
      |                   ~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left.hpp:55:53:   required from ‘auto stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; T2 = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
   55 |       arena_A.adj() -= adjB * res.val_op().transpose();
      |                               ~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:23:7:   required by substitution of ‘template<class T> using stan::plain_type_t = typename stan::plain_type<typename std::decay<_Tp>::type>::type [with T = const Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>]’
   23 | using plain_type_t = typename plain_type<std::decay_t<T>>::type;
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left.hpp:32:9:   required from ‘auto stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
   32 |   using ret_val_type = plain_type_t<decltype(value_of(A) * value_of(B))>;
      |         ^~~~~~~~~~~~
stanExports_stanmarg.h:6356:37:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6356 |             stan::math::mdivide_left(ibza,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6357 |               stan::model::rvalue(g_j, "g_j", stan::model::index_uni(j))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:180:37:   required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  180 |       (as_array_or_scalar(a) - b.val().array()).matrix())>;
      |                                ~~~~~^~
stanExports_stanmarg.h:4167:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~^
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:180:45:   required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  180 |       (as_array_or_scalar(a) - b.val().array()).matrix())>;
      |                                ~~~~~~~~~~~~~^~
stanExports_stanmarg.h:4167:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~^
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:180:30:   required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  180 |       (as_array_or_scalar(a) - b.val().array()).matrix())>;
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4167:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~^
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from ‘struct stan::is_base_pointer_convertible<Eigen::EigenBase, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   21 |     : bool_constant<is_base_pointer_convertible<Eigen::EigenBase, T>::value> {};
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:23:7:   required by substitution of ‘template<class T> using stan::plain_type_t = typename stan::plain_type<typename std::decay<_Tp>::type>::type [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >]’
   23 | using plain_type_t = typename plain_type<std::decay_t<T>>::type;
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:179:9:   required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  179 |   using op_ret_type = plain_type_t<decltype(
      |         ^~~~~~~~~~~
stanExports_stanmarg.h:4167:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~^
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:183:47:   required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  183 |   arena_t<ret_type> ret(as_array_or_scalar(a) - arena_b.val().array());
      |                         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4167:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~^
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/tcrossprod.hpp:29:72:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |   arena_t<ret_type> res = arena_M.val_op() * arena_M.val_op().transpose();
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/tcrossprod.hpp:29:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |   arena_t<ret_type> res = arena_M.val_op() * arena_M.val_op().transpose();
      |                           ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/tcrossprod.hpp:34:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   34 |           += (res.adj_op() + res.adj_op().transpose()) * arena_M.val_op();
      |                              ~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/tcrossprod.hpp:34:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   34 |           += (res.adj_op() + res.adj_op().transpose()) * arena_M.val_op();
      |              ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/tcrossprod.hpp:34:56:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   34 |           += (res.adj_op() + res.adj_op().transpose()) * arena_M.val_op();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:32:   required from ‘auto stan::math::add(VarMat&&, const Arith&) [with Arith = Eigen::Matrix<double, -1, -1>; VarMat = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  147 |       = decltype((a.val().array() + as_array_or_scalar(b)).matrix());
      |                   ~~~~~~~~~~~~~^~
stanExports_stanmarg.h:4209:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4209 |           stan::math::add(stan::model::deep_copy(Y2Yc),
      |           ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4210 |             stan::model::rvalue(cov_d, "cov_d", stan::model::index_uni(clz))),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:35:   required from ‘auto stan::math::add(VarMat&&, const Arith&) [with Arith = Eigen::Matrix<double, -1, -1>; VarMat = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  147 |       = decltype((a.val().array() + as_array_or_scalar(b)).matrix());
      |                  ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4209:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4209 |           stan::math::add(stan::model::deep_copy(Y2Yc),
      |           ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4210 |             stan::model::rvalue(cov_d, "cov_d", stan::model::index_uni(clz))),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from ‘struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   21 |     : bool_constant<is_base_pointer_convertible<Eigen::EigenBase, T>::value> {};
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:9:   required from ‘auto stan::math::add(VarMat&&, const Arith&) [with Arith = Eigen::Matrix<double, -1, -1>; VarMat = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  148 |   using ret_type = return_var_matrix_t<op_ret_type, VarMat>;
      |         ^~~~~~~~
stanExports_stanmarg.h:4209:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4209 |           stan::math::add(stan::model::deep_copy(Y2Yc),
      |           ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4210 |             stan::model::rvalue(cov_d, "cov_d", stan::model::index_uni(clz))),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:47:   required from ‘auto stan::math::add(VarMat&&, const Arith&) [with Arith = Eigen::Matrix<double, -1, -1>; VarMat = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  150 |   arena_t<ret_type> ret(arena_a.val().array() + as_array_or_scalar(b));
      |                         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4209:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4209 |           stan::math::add(stan::model::deep_copy(Y2Yc),
      |           ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4210 |             stan::model::rvalue(cov_d, "cov_d", stan::model::index_uni(clz))),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:161:35:   required from ‘auto stan::math::multiply(const T1&, T2&&) [with T1 = double; T2 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
  161 |     arena_t<return_t> res = val_a * arena_B.val().array();
      |                             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4255:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4255 |           stan::math::multiply(static_cast<double>(nj), Sigma_b_z), Sigma_w),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
stanExports_stanmarg.h:4255:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4255 |           stan::math::multiply(static_cast<double>(nj), Sigma_b_z), Sigma_w),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:38:   required from ‘auto stan::math::multiply(const T1&, T2&&) [with T1 = double; T2 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
  163 |       arena_B.adj().array() += val_a * res.adj().array();
      |                                ~~~~~~^~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4255:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4255 |           stan::math::multiply(static_cast<double>(nj), Sigma_b_z), Sigma_w),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:9:   required from ‘auto stan::math::add(VarMat1&&, VarMat2&&) [with VarMat1 = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>; VarMat2 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  114 |   using ret_type = return_var_matrix_t<op_ret_type, VarMat1, VarMat2>;
      |         ^~~~~~~~
stanExports_stanmarg.h:4254:24:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4254 |         stan::math::add(
      |         ~~~~~~~~~~~~~~~^
 4255 |           stan::math::multiply(static_cast<double>(nj), Sigma_b_z), Sigma_w),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:32:9:   required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; Mat2 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_rev_matrix_t<T1, T2>* <anonymous> = 0]’
   32 |   using ret_type = return_var_matrix_t<inner_ret_type, Mat1, Mat2>;
      |         ^~~~~~~~
stanExports_stanmarg.h:4278:56:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4278 |         q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz));
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:36:54:   required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; Mat2 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_rev_matrix_t<T1, T2>* <anonymous> = 0]’
   36 |     arena_t<ret_type> ret(arena_m1.val().cwiseProduct(arena_m2.val()));
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4278:56:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4278 |         q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz));
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:154:24:   required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  154 |       (a.val().array() - as_array_or_scalar(b)).matrix())>;
      |       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4346:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4346 |           stan::math::subtract(nperclus, stan::math::to_vector(clus_size_ns)),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from ‘struct stan::is_base_pointer_convertible<Eigen::EigenBase, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   21 |     : bool_constant<is_base_pointer_convertible<Eigen::EigenBase, T>::value> {};
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:23:7:   required by substitution of ‘template<class T> using stan::plain_type_t = typename stan::plain_type<typename std::decay<_Tp>::type>::type [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >]’
   23 | using plain_type_t = typename plain_type<std::decay_t<T>>::type;
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:153:9:   required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  153 |   using op_ret_type = plain_type_t<decltype(
      |         ^~~~~~~~~~~
stanExports_stanmarg.h:4346:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4346 |           stan::math::subtract(nperclus, stan::math::to_vector(clus_size_ns)),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:157:47:   required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  157 |   arena_t<ret_type> ret(arena_a.val().array() - as_array_or_scalar(b));
      |                         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4346:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4346 |           stan::math::subtract(nperclus, stan::math::to_vector(clus_size_ns)),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:32:9:   required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<var_value<double>, -1, 1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_rev_matrix_t<T1, T2>* <anonymous> = 0]’
   32 |   using ret_type = return_var_matrix_t<inner_ret_type, Mat1, Mat2>;
      |         ^~~~~~~~
stanExports_stanmarg.h:4361:39:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4361 |               stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:50:54:   required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<var_value<double>, -1, 1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_rev_matrix_t<T1, T2>* <anonymous> = 0]’
   50 |     arena_t<ret_type> ret(arena_m1.val().cwiseProduct(arena_m2));
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
stanExports_stanmarg.h:4361:39:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4361 |               stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:52:50:   required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<var_value<double>, -1, 1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_rev_matrix_t<T1, T2>* <anonymous> = 0]’
   52 |       arena_m1.adj().array() += arena_m2.array() * ret.adj().array();
      |                                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4361:39:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4361 |               stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:9:   required from ‘auto stan::math::add(VarMat1&&, VarMat2&&) [with VarMat1 = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; VarMat2 = Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  114 |   using ret_type = return_var_matrix_t<op_ret_type, VarMat1, VarMat2>;
      |         ^~~~~~~~
stanExports_stanmarg.h:4359:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4359 |           stan::math::add(
      |           ~~~~~~~~~~~~~~~^
 4360 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~~
 4361 |               stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4362 |               stan::math::elt_multiply(B, stan::math::to_vector(clus_size_ns))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4363 |             q_W), L_W)), "assigning variable loglik");
      |             ~~~~          
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51:   required from ‘stan::math::as_array_or_scalar<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&>(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&)::<lambda(auto:65&&)> [with auto:65 = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&]’
   57 |   return make_holder([](auto&& x) { return x.array(); }, std::forward<T>(v));
      |                                            ~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = stan::math::as_array_or_scalar<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&>(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&)::<lambda(auto:65&&)>; _Args = {const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::Matrix<double, -1, 1, 0, -1, 1> >&}]’
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
stanExports_stanmarg.h:4366:22:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4366 |       stan::math::add(
      |       ~~~~~~~~~~~~~~~^
 4367 |         stan::math::multiply(nperclus,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4368 |           static_cast<double>((N_within + N_both))),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4369 |         stan::math::multiply(stan::math::to_vector(clus_size_ns),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4370 |           static_cast<double>(N_between))), "assigning variable P");
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:35:   required from ‘auto stan::math::add(VarMat&&, const Arith&) [with Arith = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; VarMat = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  147 |       = decltype((a.val().array() + as_array_or_scalar(b)).matrix());
      |                  ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4366:22:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4366 |       stan::math::add(
      |       ~~~~~~~~~~~~~~~^
 4367 |         stan::math::multiply(nperclus,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4368 |           static_cast<double>((N_within + N_both))),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4369 |         stan::math::multiply(stan::math::to_vector(clus_size_ns),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4370 |           static_cast<double>(N_between))), "assigning variable P");
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from ‘struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >’
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   21 |     : bool_constant<is_base_pointer_convertible<Eigen::EigenBase, T>::value> {};
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:9:   required from ‘auto stan::math::add(VarMat&&, const Arith&) [with Arith = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; VarMat = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  148 |   using ret_type = return_var_matrix_t<op_ret_type, VarMat>;
      |         ^~~~~~~~
stanExports_stanmarg.h:4366:22:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4366 |       stan::math::add(
      |       ~~~~~~~~~~~~~~~^
 4367 |         stan::math::multiply(nperclus,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4368 |           static_cast<double>((N_within + N_both))),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4369 |         stan::math::multiply(stan::math::to_vector(clus_size_ns),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4370 |           static_cast<double>(N_between))), "assigning variable P");
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:9:   required from ‘auto stan::math::add(VarMat1&&, VarMat2&&) [with VarMat1 = Eigen::Matrix<var_value<double>, -1, 1>; VarMat2 = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]’
  114 |   using ret_type = return_var_matrix_t<op_ret_type, VarMat1, VarMat2>;
      |         ^~~~~~~~
stanExports_stanmarg.h:4373:22:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4373 |       stan::math::add(stan::model::deep_copy(loglik),
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4374 |         stan::math::multiply(-(.5),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4375 |           stan::math::multiply(P, stan::math::log((2 * stan::math::pi()))))),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_ldlt.hpp:59:39:   required from ‘auto stan::math::mdivide_left_ldlt(LDLT_factor<T>&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; T2 = Eigen::Matrix<double, -1, -1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
   59 |       arena_A.adj() -= ldlt_ptr->solve(res.adj()) * res.val_op().transpose();
      |                        ~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:22:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:61&&)> [with auto:61 = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>&]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:95:46:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<var_value<double>, -1, 1>, std::allocator<Eigen::Matrix<var_value<double>, -1, 1> > >; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Holder<Eigen::IndexedView<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_any_not_vector_vt<stan::is_stan_scalar, T_y, T_loc>* <anonymous> = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   95 |   auto ldlt_Sigma = make_ldlt_factor(value_of(Sigma_ref));
      |                                      ~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:19759:72:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19759 |                     lp_accum__.add(stan::math::multi_normal_lpdf<false>(
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19760 |                                      stan::model::rvalue(YXstar, "YXstar",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19761 |                                        stan::model::index_min_max(r1, r2),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19762 |                                        stan::model::index_min_max(1,
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19763 |                                          stan::model::rvalue(Nobs, "Nobs",
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19764 |                                            stan::model::index_uni(mm)))),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19765 |                                      stan::model::rvalue(Mu, "Mu",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
19766 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
19767 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19768 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19769 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19770 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19771 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19772 |                                                "Nobs",
      |                                                ~~~~~~~                  
19773 |                                                stan::model::index_uni(mm)))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19774 |                                      stan::model::rvalue(Sigma, "Sigma",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19775 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
19776 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19777 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19778 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19779 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19780 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19781 |                                                "Nobs",
      |                                                ~~~~~~~                  
19782 |                                                stan::model::index_uni(mm))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19783 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19784 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19785 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19786 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19787 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19788 |                                                "Nobs",
      |                                                ~~~~~~~                  
19789 |                                                stan::model::index_uni(mm))))))));
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:120:39:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<var_value<double>, -1, 1>, std::allocator<Eigen::Matrix<var_value<double>, -1, 1> > >; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Holder<Eigen::IndexedView<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_any_not_vector_vt<stan::is_stan_scalar, T_y, T_loc>* <anonymous> = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
  120 |       y_val_minus_mu_val = eval(y_val - mu_val);
      |                                 ~~~~~~^~~~~~~~
stanExports_stanmarg.h:19759:72:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19759 |                     lp_accum__.add(stan::math::multi_normal_lpdf<false>(
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19760 |                                      stan::model::rvalue(YXstar, "YXstar",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19761 |                                        stan::model::index_min_max(r1, r2),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19762 |                                        stan::model::index_min_max(1,
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19763 |                                          stan::model::rvalue(Nobs, "Nobs",
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19764 |                                            stan::model::index_uni(mm)))),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19765 |                                      stan::model::rvalue(Mu, "Mu",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
19766 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
19767 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19768 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19769 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19770 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19771 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19772 |                                                "Nobs",
      |                                                ~~~~~~~                  
19773 |                                                stan::model::index_uni(mm)))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19774 |                                      stan::model::rvalue(Sigma, "Sigma",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19775 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
19776 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19777 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19778 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19779 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19780 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19781 |                                                "Nobs",
      |                                                ~~~~~~~                  
19782 |                                                stan::model::index_uni(mm))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19783 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19784 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19785 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19786 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19787 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19788 |                                                "Nobs",
      |                                                ~~~~~~~                  
19789 |                                                stan::model::index_uni(mm))))))));
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:132:56:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<var_value<double>, -1, 1>, std::allocator<Eigen::Matrix<var_value<double>, -1, 1> > >; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Holder<Eigen::IndexedView<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_any_not_vector_vt<stan::is_stan_scalar, T_y, T_loc>* <anonymous> = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
  132 |         partials_vec<2>(ops_partials)[i] += 0.5 * half * half.transpose();
      |                                             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19759:72:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19759 |                     lp_accum__.add(stan::math::multi_normal_lpdf<false>(
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19760 |                                      stan::model::rvalue(YXstar, "YXstar",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19761 |                                        stan::model::index_min_max(r1, r2),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19762 |                                        stan::model::index_min_max(1,
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19763 |                                          stan::model::rvalue(Nobs, "Nobs",
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19764 |                                            stan::model::index_uni(mm)))),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19765 |                                      stan::model::rvalue(Mu, "Mu",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
19766 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
19767 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19768 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19769 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19770 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19771 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19772 |                                                "Nobs",
      |                                                ~~~~~~~                  
19773 |                                                stan::model::index_uni(mm)))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19774 |                                      stan::model::rvalue(Sigma, "Sigma",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19775 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
19776 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19777 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19778 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19779 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19780 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19781 |                                                "Nobs",
      |                                                ~~~~~~~                  
19782 |                                                stan::model::index_uni(mm))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19783 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19784 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19785 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19786 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19787 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19788 |                                                "Nobs",
      |                                                ~~~~~~~                  
19789 |                                                stan::model::index_uni(mm))))))));
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:44:38:   required from ‘struct stan::ref_type_if<true, const Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>&, void>’
   44 |               template match<T_dec>::MatchAtCompileTime
      |                                      ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:56:7:   required by substitution of ‘template<class T> using stan::ref_type_t = typename stan::ref_type_if<true, T>::type [with T = const Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>&]’
   56 | using ref_type_t = typename ref_type_if<true, T>::type;
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:24:   required by substitution of ‘template<class T, stan::math::require_not_tuple_t<T>* <anonymous> > stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>&; stan::math::require_not_tuple_t<T>* <anonymous> = 0]’
   18 | inline ref_type_t<T&&> to_ref(T&& a) {
      |                        ^~~~~~
stanExports_stanmarg.h:6435:40:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6435 |   const auto& xbar = stan::math::to_ref(xbar_arg__);
      |                      ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:44:38:   required from ‘struct stan::ref_type_if<true, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>&, void>’
   44 |               template match<T_dec>::MatchAtCompileTime
      |                                      ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:56:7:   required by substitution of ‘template<class T> using stan::ref_type_t = typename stan::ref_type_if<true, T>::type [with T = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>&]’
   56 | using ref_type_t = typename ref_type_if<true, T>::type;
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:24:   required by substitution of ‘template<class T, stan::math::require_not_tuple_t<T>* <anonymous> > stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>&; stan::math::require_not_tuple_t<T>* <anonymous> = 0]’
   18 | inline ref_type_t<T&&> to_ref(T&& a) {
      |                        ^~~~~~
stanExports_stanmarg.h:6436:37:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6436 |   const auto& S = stan::math::to_ref(S_arg__);
      |                   ~~~~~~~~~~~~~~~~~~^~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51:   required from ‘stan::math::as_array_or_scalar<const Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>&>(const Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>&)::<lambda(auto:65&&)> [with auto:65 = const Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>&]’
   57 |   return make_holder([](auto&& x) { return x.array(); }, std::forward<T>(v));
      |                                            ~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6459:56:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |                                    ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:180:30:   required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  180 |       (as_array_or_scalar(a) - b.val().array()).matrix())>;
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6459:56:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |                                    ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from ‘struct stan::is_base_pointer_convertible<Eigen::EigenBase, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   21 |     : bool_constant<is_base_pointer_convertible<Eigen::EigenBase, T>::value> {};
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:23:7:   required by substitution of ‘template<class T> using stan::plain_type_t = typename stan::plain_type<typename std::decay<_Tp>::type>::type [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >]’
   23 | using plain_type_t = typename plain_type<std::decay_t<T>>::type;
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:179:9:   required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  179 |   using op_ret_type = plain_type_t<decltype(
      |         ^~~~~~~~~~~
stanExports_stanmarg.h:6459:56:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |                                    ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:183:47:   required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  183 |   arena_t<ret_type> ret(as_array_or_scalar(a) - arena_b.val().array());
      |                         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6459:56:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |                                    ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:35:44:   required from ‘auto stan::math::multiply(T1&&, T2&&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = Eigen::Transpose<const Eigen::Matrix<var_value<double>, -1, 1> >; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
   35 |     auto arena_B_val = to_arena(arena_B.val());
      |                                 ~~~~~~~~~~~^~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:11:   required from ‘auto stan::math::multiply(T1&&, T2&&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = Eigen::Transpose<const Eigen::Matrix<var_value<double>, -1, 1> >; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
   36 |     using return_t
      |           ^~~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51:   required from ‘stan::math::as_array_or_scalar<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>&>(const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>&)::<lambda(auto:65&&)> [with auto:65 = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>&]’
   57 |   return make_holder([](auto&& x) { return x.array(); }, std::forward<T>(v));
      |                                            ~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6458:28:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6458 |             stan::math::add(S,
      |             ~~~~~~~~~~~~~~~^~~
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  147 |       = decltype((a.val().array() + as_array_or_scalar(b)).matrix());
      |                  ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6458:28:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6458 |             stan::math::add(S,
      |             ~~~~~~~~~~~~~~~^~~
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from ‘struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >’
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   21 |     : bool_constant<is_base_pointer_convertible<Eigen::EigenBase, T>::value> {};
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13:   required from ‘auto stan::math::add(const Arith&, VarMat&&) [with Arith = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; VarMat = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  169 |   return add(std::forward<VarMat>(b), a);
      |          ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6458:28:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6458 |             stan::math::add(S,
      |             ~~~~~~~~~~~~~~~^~~
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&)::<lambda(auto:61&&)> [with auto:61 = const Eigen::Block<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6454:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6454 |           stan::math::elt_multiply(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^
 6455 |             stan::model::rvalue(Supdate, "Supdate",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6456 |               stan::model::index_min_max(1, Nobs),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6457 |               stan::model::index_min_max(1, Nobs)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6458 |             stan::math::add(S,
      |             ~~~~~~~~~~~~~~~~~~     
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&)::<lambda(auto:61&&)> [with auto:61 = const stan::math::arena_matrix<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, void>&]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6454:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6454 |           stan::math::elt_multiply(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^
 6455 |             stan::model::rvalue(Supdate, "Supdate",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6456 |               stan::model::index_min_max(1, Nobs),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6457 |               stan::model::index_min_max(1, Nobs)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6458 |             stan::math::add(S,
      |             ~~~~~~~~~~~~~~~~~~     
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:32:9:   required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>; Mat2 = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_rev_matrix_t<T1, T2>* <anonymous> = 0]’
   32 |   using ret_type = return_var_matrix_t<inner_ret_type, Mat1, Mat2>;
      |         ^~~~~~~~
stanExports_stanmarg.h:6454:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6454 |           stan::math::elt_multiply(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^
 6455 |             stan::model::rvalue(Supdate, "Supdate",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6456 |               stan::model::index_min_max(1, Nobs),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6457 |               stan::model::index_min_max(1, Nobs)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6458 |             stan::math::add(S,
      |             ~~~~~~~~~~~~~~~~~~     
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from ‘struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   21 |     : bool_constant<is_base_pointer_convertible<Eigen::EigenBase, T>::value> {};
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13:   required from ‘auto stan::math::add(const Arith&, VarMat&&) [with Arith = Eigen::Matrix<double, -1, -1>; VarMat = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]’
  169 |   return add(std::forward<VarMat>(b), a);
      |          ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6458:28:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T1__ = stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6458 |             stan::math::add(S,
      |             ~~~~~~~~~~~~~~~^~~
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19867:40:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19867 |                       multi_normal_suff(
      |                       ~~~~~~~~~~~~~~~~~^
19868 |                         stan::model::rvalue(YXbarstar, "YXbarstar",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19869 |                           stan::model::index_uni(mm),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19870 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
19871 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19872 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19873 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19874 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19875 |                         stan::model::rvalue(Sstar, "Sstar",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19876 |                           stan::model::index_uni(mm),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19877 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
19878 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19879 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19880 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19881 |                                   stan::model::index_uni(mm))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19882 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
19883 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19884 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19885 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19886 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19887 |                         stan::model::rvalue(Mu, "Mu",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19888 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19889 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
19890 |                             stan::model::rvalue(xidx, "xidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19891 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19892 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19893 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19894 |                         sig_inv_update(
      |                         ~~~~~~~~~~~~~~~ 
19895 |                           stan::model::rvalue(Sigmainv, "Sigmainv",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19896 |                             stan::model::index_uni(mm)), xidx,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19897 |                           stan::model::rvalue(Nx, "Nx",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19898 |                             stan::model::index_uni(mm)), (p + q),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19899 |                           stan::model::rvalue(logdetSigma_grp,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19900 |                             "logdetSigma_grp", stan::model::index_uni(grpidx)),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19901 |                           pstream__), ((r2 - r1) + 1), pstream__)));
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&>(const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&>(const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&>(const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&>(const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&>(const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&>(const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&)::<lambda(auto:61&&)> [with auto:61 = const Eigen::Block<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6454:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T1__ = stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6454 |           stan::math::elt_multiply(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^
 6455 |             stan::model::rvalue(Supdate, "Supdate",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6456 |               stan::model::index_min_max(1, Nobs),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6457 |               stan::model::index_min_max(1, Nobs)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6458 |             stan::math::add(S,
      |             ~~~~~~~~~~~~~~~~~~     
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19867:40:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19867 |                       multi_normal_suff(
      |                       ~~~~~~~~~~~~~~~~~^
19868 |                         stan::model::rvalue(YXbarstar, "YXbarstar",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19869 |                           stan::model::index_uni(mm),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19870 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
19871 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19872 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19873 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19874 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19875 |                         stan::model::rvalue(Sstar, "Sstar",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19876 |                           stan::model::index_uni(mm),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19877 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
19878 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19879 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19880 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19881 |                                   stan::model::index_uni(mm))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19882 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
19883 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19884 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19885 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19886 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19887 |                         stan::model::rvalue(Mu, "Mu",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19888 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19889 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
19890 |                             stan::model::rvalue(xidx, "xidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19891 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19892 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19893 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19894 |                         sig_inv_update(
      |                         ~~~~~~~~~~~~~~~ 
19895 |                           stan::model::rvalue(Sigmainv, "Sigmainv",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19896 |                             stan::model::index_uni(mm)), xidx,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19897 |                           stan::model::rvalue(Nx, "Nx",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19898 |                             stan::model::index_uni(mm)), (p + q),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19899 |                           stan::model::rvalue(logdetSigma_grp,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19900 |                             "logdetSigma_grp", stan::model::index_uni(grpidx)),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19901 |                           pstream__), ((r2 - r1) + 1), pstream__)));
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&>(const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&>(const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&>(const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&>(const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&>(const Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Block<const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp<stan::math::value_of<const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&>(const arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:32:9:   required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; Mat2 = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, void>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_rev_matrix_t<T1, T2>* <anonymous> = 0]’
   32 |   using ret_type = return_var_matrix_t<inner_ret_type, Mat1, Mat2>;
      |         ^~~~~~~~
stanExports_stanmarg.h:6454:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T1__ = stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6454 |           stan::math::elt_multiply(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^
 6455 |             stan::model::rvalue(Supdate, "Supdate",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6456 |               stan::model::index_min_max(1, Nobs),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6457 |               stan::model::index_min_max(1, Nobs)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6458 |             stan::math::add(S,
      |             ~~~~~~~~~~~~~~~~~~     
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19867:40:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19867 |                       multi_normal_suff(
      |                       ~~~~~~~~~~~~~~~~~^
19868 |                         stan::model::rvalue(YXbarstar, "YXbarstar",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19869 |                           stan::model::index_uni(mm),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19870 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
19871 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19872 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19873 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19874 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19875 |                         stan::model::rvalue(Sstar, "Sstar",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19876 |                           stan::model::index_uni(mm),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19877 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
19878 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19879 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19880 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19881 |                                   stan::model::index_uni(mm))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19882 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
19883 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19884 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19885 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19886 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19887 |                         stan::model::rvalue(Mu, "Mu",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19888 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19889 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
19890 |                             stan::model::rvalue(xidx, "xidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19891 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19892 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19893 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19894 |                         sig_inv_update(
      |                         ~~~~~~~~~~~~~~~ 
19895 |                           stan::model::rvalue(Sigmainv, "Sigmainv",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19896 |                             stan::model::index_uni(mm)), xidx,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19897 |                           stan::model::rvalue(Nx, "Nx",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19898 |                             stan::model::index_uni(mm)), (p + q),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19899 |                           stan::model::rvalue(logdetSigma_grp,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19900 |                             "logdetSigma_grp", stan::model::index_uni(grpidx)),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19901 |                           pstream__), ((r2 - r1) + 1), pstream__)));
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)> [with auto:61 = Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:57:64:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   57 |   decltype(auto) y_val = to_ref(as_value_column_array_or_scalar(y_ref));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)> [with auto:61 = Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:417:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:57:64:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   57 |   decltype(auto) y_val = to_ref(as_value_column_array_or_scalar(y_ref));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)> [with auto:61 = Eigen::ArrayWrapper<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:58:65:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   58 |   decltype(auto) mu_val = to_ref(as_value_column_array_or_scalar(mu_ref));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)> [with auto:61 = Eigen::ArrayWrapper<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >&]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:417:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:58:65:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   58 |   decltype(auto) mu_val = to_ref(as_value_column_array_or_scalar(mu_ref));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_column_vector_or_scalar.hpp:87:69:   required from ‘stan::math::as_column_vector_or_scalar<const std::vector<double>&>(const std::vector<double>&)::<lambda(auto:15&&)> [with auto:15 = const std::vector<double>&]’
   87 |       [](auto&& x) { return T_map(x.data(), x.size()).array().matrix(); },
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:59:68:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   59 |   decltype(auto) sigma_val = to_ref(as_value_column_array_or_scalar(sigma_ref));
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51:   required from ‘stan::math::as_array_or_scalar<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >(Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >&&)::<lambda(auto:65&&)> [with auto:65 = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]’
   57 |   return make_holder([](auto&& x) { return x.array(); }, std::forward<T>(v));
      |                                            ~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:59:68:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   59 |   decltype(auto) sigma_val = to_ref(as_value_column_array_or_scalar(sigma_ref));
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/inv.hpp:61:74:   required from ‘stan::math::inv<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&>(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&)::<lambda(auto:50&&)> [with auto:50 = Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&]’
   61 |       std::forward<Container>(x), [](auto&& v) { return v.array().inverse(); });
      |                                                         ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:58:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   58 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:75:62:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   75 |       = to_ref_if<is_any_autodiff_v<T_y, T_scale, T_loc>>(inv(sigma_val));
      |                                                           ~~~^~~~~~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:76:40:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   76 |   const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma);
      |                                 ~~~~~~~^~~~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:76:50:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   76 |   const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma);
      |                                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:78:52:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   78 |       = to_ref_if<is_autodiff_v<T_scale>>(y_scaled * y_scaled);
      |                                           ~~~~~~~~~^~~~~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:87:70:   required from ‘stan::math::log<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&>(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&)::<lambda(auto:51&&)> [with auto:51 = Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&]’
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |                                                         ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:58:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   58 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:86:20:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   86 |     logp -= sum(log(sigma_val)) * N / math::size(sigma);
      |                 ~~~^~~~~~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:95:35:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   95 |       partials<0>(ops_partials) = -scaled_diff;
      |                                   ^~~~~~~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)> [with auto:61 = Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:65:64:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   65 |   decltype(auto) y_val = to_ref(as_value_column_array_or_scalar(y_ref));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:20027:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20027 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
20028 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:61&&)> [with auto:61 = Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >&]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:417:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:65:64:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   65 |   decltype(auto) y_val = to_ref(as_value_column_array_or_scalar(y_ref));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:20027:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20027 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
20028 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob.hpp:112,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim.hpp:18:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp: In instantiation of ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’:
stanExports_stanmarg.h:20027:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20027 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
20028 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare]
   83 |   for (size_t n = 0; n < stan::math::size(y); n++) {
      |                      ~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&, void>::apply<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&>(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&, void>::apply<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&>(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&, void>::apply<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&>(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&, void>::apply<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&>(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&, void>::apply<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&>(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:66:58:   required from ‘stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&, void>::apply<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&>(Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&)::<lambda(auto:12&&)> [with auto:12 = Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&]’
   66 |           return std::forward<decltype(xx)>(xx).unaryExpr([](auto&& xxx) {
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
   67 |             return apply_scalar_unary<F, decltype(xxx)>::apply(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |                 std::forward<decltype(xxx)>(xxx));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
   69 |           });
      |           ~~                                              
/usr/include/c++/16/type_traits:2890:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:92:23:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   92 |     logp = -sum(lgamma(alpha_val)) * N / math::size(alpha);
      |                 ~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:20027:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20027 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
20028 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:97:27:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   97 |     logp += sum(alpha_val * log_beta) * N / max_size(alpha, beta);
      |                 ~~~~~~~~~~^~~~~~~~~~
stanExports_stanmarg.h:20027:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20027 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
20028 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:103:28:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
  103 |     logp += sum((alpha_val - 1.0) * log_y) * N / max_size(alpha, y);
      |                 ~~~~~~~~~~~^~~~~~
stanExports_stanmarg.h:20027:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20027 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
20028 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:103:35:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
  103 |     logp += sum((alpha_val - 1.0) * log_y) * N / max_size(alpha, y);
      |                 ~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:20027:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20027 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
20028 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Array<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:106:26:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
  106 |     logp -= sum(beta_val * y_val) * N / max_size(beta, y);
      |                 ~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:20027:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20027 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
20028 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:110:44:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
  110 |     partials<0>(ops_partials) = (alpha_val - 1) / y_val - beta_val;
      |                                 ~~~~~~~~~~~^~~~
stanExports_stanmarg.h:20027:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20027 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
20028 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:110:49:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
  110 |     partials<0>(ops_partials) = (alpha_val - 1) / y_val - beta_val;
      |                                 ~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:20027:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20027 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
20028 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:110:57:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
  110 |     partials<0>(ops_partials) = (alpha_val - 1) / y_val - beta_val;
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
stanExports_stanmarg.h:20027:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20027 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
20028 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > > >(Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > > >(Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > > >(Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > > >(Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > > >(Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > > >(Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > >&&)::<lambda(auto:61&&)> [with auto:61 = Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:65:64:   required from ‘stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; T_scale_succ = std::vector<double>; T_scale_fail = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   65 |   decltype(auto) y_val = to_ref(as_value_column_array_or_scalar(y_ref));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:20033:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20033 |         lp_accum__.add((stan::math::beta_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
20034 |                           stan::math::multiply(.5,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~   
20035 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20036 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > > >(Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > > >(Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > > >(Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > > >(Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > > >(Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > > >(Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<var_value<double>, -1, 1> > >&&)::<lambda(auto:61&&)> [with auto:61 = Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >&]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:417:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:65:64:   required from ‘stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; T_scale_succ = std::vector<double>; T_scale_fail = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   65 |   decltype(auto) y_val = to_ref(as_value_column_array_or_scalar(y_ref));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:20033:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20033 |         lp_accum__.add((stan::math::beta_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
20034 |                           stan::math::multiply(.5,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~   
20035 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20036 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::Array<double, -1, 1>&, void>::apply<Eigen::Array<double, -1, 1>&>(Eigen::Array<double, -1, 1>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::Array<double, -1, 1>&, void>::apply<Eigen::Array<double, -1, 1>&>(Eigen::Array<double, -1, 1>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::Array<double, -1, 1>&, void>::apply<Eigen::Array<double, -1, 1>&>(Eigen::Array<double, -1, 1>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::Array<double, -1, 1>&, void>::apply<Eigen::Array<double, -1, 1>&>(Eigen::Array<double, -1, 1>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::Array<double, -1, 1>&, void>::apply<Eigen::Array<double, -1, 1>&>(Eigen::Array<double, -1, 1>&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::Array<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:66:58:   required from ‘stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::Array<double, -1, 1>&, void>::apply<Eigen::Array<double, -1, 1>&>(Eigen::Array<double, -1, 1>&)::<lambda(auto:12&&)> [with auto:12 = Eigen::Array<double, -1, 1>&]’
   66 |           return std::forward<decltype(xx)>(xx).unaryExpr([](auto&& xxx) {
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
   67 |             return apply_scalar_unary<F, decltype(xxx)>::apply(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |                 std::forward<decltype(xxx)>(xxx));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
   69 |           });
      |           ~~                                              
/usr/include/c++/16/type_traits:2890:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:78:37:   required from ‘stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; T_scale_succ = std::vector<double>; T_scale_fail = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   78 |   const auto& log1m_y = to_ref(log1m(y_val));
      |                                ~~~~~^~~~~~~
stanExports_stanmarg.h:20033:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20033 |         lp_accum__.add((stan::math::beta_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
20034 |                           stan::math::multiply(.5,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~   
20035 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20036 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:98:61:   required from ‘stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; T_scale_succ = std::vector<double>; T_scale_fail = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   98 |         = (alpha_val - 1) / y_val + (beta_val - 1) / (y_val - 1);
      |                                                      ~~~~~~~^~~~
stanExports_stanmarg.h:20033:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20033 |         lp_accum__.add((stan::math::beta_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
20034 |                           stan::math::multiply(.5,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~   
20035 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20036 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:98:52:   required from ‘stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; T_scale_succ = std::vector<double>; T_scale_fail = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   98 |         = (alpha_val - 1) / y_val + (beta_val - 1) / (y_val - 1);
      |                                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
stanExports_stanmarg.h:20033:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20033 |         lp_accum__.add((stan::math::beta_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
20034 |                           stan::math::multiply(.5,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~   
20035 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20036 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:98:35:   required from ‘stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; T_scale_succ = std::vector<double>; T_scale_fail = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   98 |         = (alpha_val - 1) / y_val + (beta_val - 1) / (y_val - 1);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:20033:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20033 |         lp_accum__.add((stan::math::beta_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
20034 |                           stan::math::multiply(.5,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~   
20035 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20036 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:104:68:   required from ‘stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; T_scale_succ = std::vector<double>; T_scale_fail = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
  103 |         = to_ref_if<is_any_autodiff_v<T_scale_succ, T_scale_fail>>(alpha_val
      |                                                                    ~~~~~~~~~
  104 |                                                                    + beta_val);
      |                                                                    ^~~~~~~~~~
stanExports_stanmarg.h:20033:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20033 |         lp_accum__.add((stan::math::beta_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
20034 |                           stan::math::multiply(.5,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~   
20035 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20036 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&>(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&>(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&>(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&>(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&>(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:66:58:   required from ‘stan::math::apply_scalar_unary<stan::math::lgamma_fun, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&, void>::apply<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&>(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&)::<lambda(auto:12&&)> [with auto:12 = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >&]’
   66 |           return std::forward<decltype(xx)>(xx).unaryExpr([](auto&& xxx) {
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
   67 |             return apply_scalar_unary<F, decltype(xxx)>::apply(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |                 std::forward<decltype(xxx)>(xxx));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
   69 |           });
      |           ~~                                              
/usr/include/c++/16/type_traits:2890:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:105:23:   required from ‘stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; T_scale_succ = std::vector<double>; T_scale_fail = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
  105 |     logp += sum(lgamma(alpha_beta)) * N / max_size(alpha, beta);
      |                 ~~~~~~^~~~~~~~~~~~
stanExports_stanmarg.h:20033:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20033 |         lp_accum__.add((stan::math::beta_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
20034 |                           stan::math::multiply(.5,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~   
20035 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20036 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  887 |   typedef typename XprType::PointerType PointerType;
      |                                         ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_symmetric.hpp:42:29:   required from ‘void stan::math::check_symmetric(const char*, const char*, const EigMat&) [with EigMat = Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; stan::require_matrix_t<T>* <anonymous> = 0]’
   42 |   const auto& y_ref = to_ref(y);
      |                       ~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:32:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; typename stan::value_type<T>::type = double]’
   32 |   check_symmetric("inverse_spd", "m", m_ref);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21901:36:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21901 |             stan::math::inverse_spd(
      |             ~~~~~~~~~~~~~~~~~~~~~~~^
21902 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:463:34:   required from ‘typename MatrixType::RealScalar Eigen::ColPivHouseholderQR<MatrixType>::logAbsDeterminant() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename MatrixType::RealScalar = double]’
  463 |   return m_qr.diagonal().cwiseAbs().array().log().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:51:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:463:42:   required from ‘typename MatrixType::RealScalar Eigen::ColPivHouseholderQR<MatrixType>::logAbsDeterminant() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename MatrixType::RealScalar = double]’
  463 |   return m_qr.diagonal().cwiseAbs().array().log().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:51:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:463:48:   required from ‘typename MatrixType::RealScalar Eigen::ColPivHouseholderQR<MatrixType>::logAbsDeterminant() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename MatrixType::RealScalar = double]’
  463 |   return m_qr.diagonal().cwiseAbs().array().log().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:51:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:46:19:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_var<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   46 |   return llt.solve(
      |          ~~~~~~~~~^
   47 |       Eigen::Matrix<return_type_t<EigMat1, EigMat2>, EigMat2::RowsAtCompileTime,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   48 |                     EigMat2::ColsAtCompileTime>(b));
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5408:41:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<double, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = double; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
stanExports_stanmarg.h:21916:29:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21916 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
21917 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21918 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21919 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21920 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21921 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21922 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21923 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21924 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21925 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21926 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21927 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21928 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::Matrix<double, -1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
stanExports_stanmarg.h:3591:52:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type>::type, -1, -1> model_stanmarg_namespace::calc_W_tilde(const T0__&, const T1__&, const T2__&, const T3__&, std::ostream*) [with T0__ = Eigen::Matrix<double, -1, -1>; T1__ = Eigen::Matrix<double, -1, 1>; T2__ = std::vector<int>; T3__ = int; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_col_vector<Col>, stan::is_vt_not_complex<T1__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; std::ostream = std::basic_ostream<char>]’
 3591 |     stan::model::assign(out, stan::math::append_col(mu1, sig1),
      |                              ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:5789:19:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5789 |       calc_W_tilde(impl_Sigmaw, impl_Muw, ov_idx1, p_tilde, pstream__),
      |       ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:37:13:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~~~  
   37 |       .solve(Eigen::Matrix<return_type_t<T1, T2>, T2::RowsAtCompileTime,
      |       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |                            T2::ColsAtCompileTime>(b));
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_ldlt_factor.hpp:32:45:   required from ‘void stan::math::check_ldlt_factor(const char*, const char*, LDLT_factor<T>&) [with T = Eigen::Matrix<double, -1, -1>]’
   32 |     auto too_small = A.ldlt().vectorD().tail(1)(0);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:74:20:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<double, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
   74 |   check_ldlt_factor(function, "LDLT_Factor of random variable", ldlt_W);
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23592:46:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23592 |               stan::math::wishart_lpdf<false>(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
23593 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~         
23594 |                   static_cast<double>(
      |                   ~~~~~~~~~~~~~~~~~~~~        
23595 |                     (stan::model::rvalue(N, "N", stan::model::index_uni(mm))
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23596 |                     - 1)),
      |                     ~~~~~~                    
23597 |                   stan::model::rvalue(Sstar, "Sstar",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23598 |                     stan::model::index_uni(mm))),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23599 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~          
23600 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23601 |                   1)),
      |                   ~~~~                        
23602 |                 stan::model::rvalue(Sigma, "Sigma",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23603 |                   stan::model::index_uni(mm))), "assigning variable log_lik",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left_ldlt.hpp:37:24:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, EigMat::ColsAtCompileTime> stan::math::mdivide_left_ldlt(LDLT_factor<T>&, const EigMat&) [with T = Eigen::Matrix<double, -1, -1>; EigMat = Eigen::Matrix<double, -1, 1>; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_any_not_t<std::is_arithmetic<typename stan::value_type<T, void>::type>, stan::is_fvar<typename stan::value_type<S, void>::type, void> >* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   37 |   return A.ldlt().solve(
      |          ~~~~~~~~~~~~~~^
   38 |       Eigen::Matrix<return_type_t<T, EigMat>, EigMat::RowsAtCompileTime,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   39 |                     EigMat::ColsAtCompileTime>(b));
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:222:31:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_all_vector_vt<stan::is_stan_scalar, T_y, T_loc>* <anonymous> = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
  222 |       half = mdivide_left_ldlt(ldlt_Sigma, y_val_minus_mu_val);
      |              ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23898:61:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23898 |                         stan::math::multi_normal_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
23899 |                           stan::model::rvalue(YXstar, "YXstar",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23900 |                             stan::model::index_uni(jj),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~      
23901 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23902 |                               stan::model::rvalue(xdatidx, "xdatidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23903 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23904 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23905 |                                     stan::model::index_uni(mm)))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23906 |                           stan::model::rvalue(Mu, "Mu",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
23907 |                             stan::model::index_uni(grpidx),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
23908 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23909 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23910 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23911 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23912 |                                     stan::model::index_uni(mm)))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23913 |                           stan::model::rvalue(Sigma, "Sigma",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23914 |                             stan::model::index_uni(grpidx),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
23915 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23916 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23917 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23918 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23919 |                                     stan::model::index_uni(mm))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23920 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23921 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23922 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23923 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23924 |                                     stan::model::index_uni(mm))))))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/trace_quad_form.hpp:31:28:   required from ‘stan::return_type_t<T1, T2> stan::math::trace_quad_form(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::return_type_t<T1, T2> = double]’
   31 |   return B_ref.cwiseProduct(A * B_ref).sum();
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_prec_lpdf.hpp:98:36:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_prec_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::return_type_t<T, L, U> = double]’
   98 |       sum_lp_vec += trace_quad_form(Sigma_ref, y_col - mu_col);
      |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23957:62:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23957 |                     stan::math::multi_normal_prec_lpdf<false>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
23958 |                       stan::model::rvalue(YXstar, "YXstar",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
23959 |                         stan::model::index_uni(jj),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~           
23960 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
23961 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
23962 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
23963 |                       stan::model::rvalue(Mu, "Mu",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
23964 |                         stan::model::index_uni(grpidx),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~       
23965 |                         stan::model::index_multi(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~             
23966 |                           stan::model::rvalue(obsidx, "obsidx",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23967 |                             stan::model::index_min_max(1,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
23968 |                               stan::model::rvalue(Nobs, "Nobs",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23969 |                                 stan::model::index_uni(mm)))))),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23970 |                       stan::model::rvalue(Sigmainv_patt, "Sigmainv_patt",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23971 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
23972 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
23973 |                             stan::model::index_uni(mm))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
23974 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
23975 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
23976 |                             stan::model::index_uni(mm))))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Matrix<double, 2, 1> >(const char*, const char*, const Eigen::Matrix<double, 2, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, 2, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, 2, 1>]’
   29 |   elementwise_check([](double x) { return std::isfinite(x); }, function, name,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     y, "finite");
      |                     ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:32:15:   required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::hypergeometric_pFq(Ta&&, Tb&&, Tz&&) [with Ta = Eigen::Matrix<double, 2, 1>&; Tb = Eigen::Matrix<double, 1, 1, 0, 1, 1>&; Tz = const double&; stan::require_all_vector_st<std::is_arithmetic, Ta, Tb>* <anonymous> = 0; stan::require_arithmetic_t<Tz>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
   32 |   check_finite("hypergeometric_pFq", "a", a_ref);
      |   ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:190:30:   required from ‘stan::return_type_t<T_x1, T_x2, T_sigma, T_l> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<T_x1, T_x2, T_sigma, T_l> = double]’
  190 |     return hypergeometric_pFq(a_args, b_args, z);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:192:39:   required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
  192 |       auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
      |                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:308:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
  308 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  309 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_reg_inc_beta.hpp:50:25:   required from ‘void stan::math::grad_reg_inc_beta(T&, T&, const T&, const T&, const T&, const T&, const T&, const T&, const T&) [with T = double]’
   50 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inc_beta.hpp:26:22:   required from here
   26 |     grad_reg_inc_beta(d_a, d_b, avi_->val_, bvi_->val_, cvi_->val_,
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   27 |                       digamma(avi_->val_), digamma(bvi_->val_),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                       digamma(avi_->val_ + bvi_->val_), beta_ab);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, 2, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Matrix<double, 1, 1, 0, 1, 1> >(const char*, const char*, const Eigen::Matrix<double, 1, 1, 0, 1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, 1, 1, 0, 1, 1>]’
   29 |   elementwise_check([](double x) { return std::isfinite(x); }, function, name,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     y, "finite");
      |                     ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:33:15:   required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::hypergeometric_pFq(Ta&&, Tb&&, Tz&&) [with Ta = Eigen::Matrix<double, 2, 1>&; Tb = Eigen::Matrix<double, 1, 1, 0, 1, 1>&; Tz = const double&; stan::require_all_vector_st<std::is_arithmetic, Ta, Tb>* <anonymous> = 0; stan::require_arithmetic_t<Tz>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
   33 |   check_finite("hypergeometric_pFq", "b", b_ref);
      |   ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:190:30:   required from ‘stan::return_type_t<T_x1, T_x2, T_sigma, T_l> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<T_x1, T_x2, T_sigma, T_l> = double]’
  190 |     return hypergeometric_pFq(a_args, b_args, z);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:192:39:   required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
  192 |       auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
      |                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:308:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
  308 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  309 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_reg_inc_beta.hpp:50:25:   required from ‘void stan::math::grad_reg_inc_beta(T&, T&, const T&, const T&, const T&, const T&, const T&, const T&, const T&) [with T = double]’
   50 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inc_beta.hpp:26:22:   required from here
   26 |     grad_reg_inc_beta(d_a, d_b, avi_->val_, bvi_->val_, cvi_->val_,
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   27 |                       digamma(avi_->val_), digamma(bvi_->val_),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                       digamma(avi_->val_ + bvi_->val_), beta_ab);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, 2, 1> >(const char*, const char*, const Eigen::Matrix<double, 2, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, 2, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, 2, 1>]’
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:35:16:   required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::hypergeometric_pFq(Ta&&, Tb&&, Tz&&) [with Ta = Eigen::Matrix<double, 2, 1>&; Tb = Eigen::Matrix<double, 1, 1, 0, 1, 1>&; Tz = const double&; stan::require_all_vector_st<std::is_arithmetic, Ta, Tb>* <anonymous> = 0; stan::require_arithmetic_t<Tz>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
   35 |   check_not_nan("hypergeometric_pFq", "a", a_ref);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:190:30:   required from ‘stan::return_type_t<T_x1, T_x2, T_sigma, T_l> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<T_x1, T_x2, T_sigma, T_l> = double]’
  190 |     return hypergeometric_pFq(a_args, b_args, z);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:192:39:   required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
  192 |       auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
      |                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:308:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
  308 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  309 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_reg_inc_beta.hpp:50:25:   required from ‘void stan::math::grad_reg_inc_beta(T&, T&, const T&, const T&, const T&, const T&, const T&, const T&, const T&) [with T = double]’
   50 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inc_beta.hpp:26:22:   required from here
   26 |     grad_reg_inc_beta(d_a, d_b, avi_->val_, bvi_->val_, cvi_->val_,
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   27 |                       digamma(avi_->val_), digamma(bvi_->val_),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                       digamma(avi_->val_ + bvi_->val_), beta_ab);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, 2, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, 1, 1, 0, 1, 1> >(const char*, const char*, const Eigen::Matrix<double, 1, 1, 0, 1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, 1, 1, 0, 1, 1>]’
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:36:16:   required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::hypergeometric_pFq(Ta&&, Tb&&, Tz&&) [with Ta = Eigen::Matrix<double, 2, 1>&; Tb = Eigen::Matrix<double, 1, 1, 0, 1, 1>&; Tz = const double&; stan::require_all_vector_st<std::is_arithmetic, Ta, Tb>* <anonymous> = 0; stan::require_arithmetic_t<Tz>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
   36 |   check_not_nan("hypergeometric_pFq", "b", b_ref);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:190:30:   required from ‘stan::return_type_t<T_x1, T_x2, T_sigma, T_l> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<T_x1, T_x2, T_sigma, T_l> = double]’
  190 |     return hypergeometric_pFq(a_args, b_args, z);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:192:39:   required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
  192 |       auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
      |                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:308:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
  308 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  309 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_reg_inc_beta.hpp:50:25:   required from ‘void stan::math::grad_reg_inc_beta(T&, T&, const T&, const T&, const T&, const T&, const T&, const T&, const T&) [with T = double]’
   50 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inc_beta.hpp:26:22:   required from here
   26 |     grad_reg_inc_beta(d_a, d_b, avi_->val_, bvi_->val_, cvi_->val_,
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   27 |                       digamma(avi_->val_), digamma(bvi_->val_),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                       digamma(avi_->val_ + bvi_->val_), beta_ab);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7:   required from ‘Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’
   15 |       EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
      |                                                              ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  367 |     matA.col(i).coeffRef(i+1) = 1;
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’
  475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
      |                                              ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’
  315 |   internal::apply_rotation_in_the_plane(x, y, j.transpose());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’
  895 |       q.applyOnTheRight(k,k+1,rot);
      |       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
  548 |     internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  514 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  514 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
 1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  379 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
 1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  387 |         ret = ret && (A21.array()==Scalar(0)).all();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:44:37:   required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_eigen_vector_t<T2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0]’
   44 |   acc.tail(pull) = 1.0 - temp.square();
      |                          ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:44:24:   required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_eigen_vector_t<T2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0]’
   44 |   acc.tail(pull) = 1.0 - temp.square();
      |                    ~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:49:33:   required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_eigen_vector_t<T2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0]’
   49 |     temp /= sqrt(acc.tail(pull) / acc(i));
      |                  ~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/sqrt.hpp:78:71:   required from ‘stan::math::sqrt<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >&&)::<lambda(auto:57&&)> [with auto:57 = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >&]’
   78 |       std::forward<Container>(x), [](auto&& v) { return v.array().sqrt(); });
      |                                                         ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:58:44:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   58 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:53:22:   required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_eigen_vector_t<T2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0]’
   53 |   CPCs = 0.5 * ((1.0 + CPCs) / (1.0 - CPCs)).log();  // now unbounded
      |                 ~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:53:37:   required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_eigen_vector_t<T2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0]’
   53 |   CPCs = 0.5 * ((1.0 + CPCs) / (1.0 - CPCs)).log();  // now unbounded
      |                                ~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:53:30:   required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_eigen_vector_t<T2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0]’
   53 |   CPCs = 0.5 * ((1.0 + CPCs) / (1.0 - CPCs)).log();  // now unbounded
      |                ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:53:49:   required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_eigen_vector_t<T2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0]’
   53 |   CPCs = 0.5 * ((1.0 + CPCs) / (1.0 - CPCs)).log();  // now unbounded
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:53:14:   required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_eigen_vector_t<T2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0]’
   53 |   CPCs = 0.5 * ((1.0 + CPCs) / (1.0 - CPCs)).log();  // now unbounded
      |          ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp: In instantiation of ‘static void stan::math::internal::bounded<T_y, T_low, T_high, true>::check(const char*, const char*, const T_y&, const T_low&, const T_high&) [with T_y = Eigen::Array<double, -1, 1>; T_low = double; T_high = double]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp:80:75:   required from ‘void stan::math::check_bounded(const char*, const char*, const T_y&, const T_low&, const T_high&) [with T_y = Eigen::Array<double, -1, 1>; T_low = double; T_high = double]’
   80 |   internal::bounded<T_y, T_low, T_high, is_vector_like<T_y>::value>::check(
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   81 |       function, name, y, low, high);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                        
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:51:16:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   51 |   check_bounded("corr_matrix_free", "log(sd)", sds, -CONSTRAINT_TOLERANCE,
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   52 |                 CONSTRAINT_TOLERANCE);
      |                 ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp:48:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare]
   48 |     for (size_t n = 0; n < stan::math::size(y); n++) {
      |                        ~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int, double>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, double&)::<lambda(auto:395&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int, double>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, double&)::<lambda(auto:395&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int, double>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, double&)::<lambda(auto:395&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int, double>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, double&)::<lambda(auto:395&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int, double>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, double&)::<lambda(auto:395&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lb_constrain.hpp:108:18:   required from ‘auto stan::math::lb_constrain(const T&, const L&, Lp&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; Lp = double; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_convertible_t<typename stan::return_type<T1, T2>::type, Lp>* <anonymous> = 0]’
  108 |       x.unaryExpr([lb, &lp](auto&& xx) { return lb_constrain(xx, lb, lp); }));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lb_constrain.hpp:260:24:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  260 |     return lb_constrain(std::forward<T>(x), std::forward<L>(lb), lp);
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = true; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/initialize.hpp:130:58:   required from ‘std::vector<double> stan::services::util::initialize(Model&, const InitContext&, RNG&, double, bool, stan::callbacks::logger&, stan::callbacks::writer&) [with bool Jacobian = true; Model = model_stanmarg_namespace::model_stanmarg; InitContext = stan::io::var_context; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
  130 |       log_prob = model.template log_prob<false, Jacobian>(unconstrained,
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  131 |                                                           disc_vector, &msg);
      |                                                           ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:49:53:   required from ‘int stan::services::diagnose::diagnose(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg]’
   49 |   std::vector<double> cont_vector = util::initialize(
      |                                     ~~~~~~~~~~~~~~~~^
   50 |       model, init, rng, init_radius, false, logger, init_writer);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:481:53:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  481 |     return_code = stan::services::diagnose::diagnose(model,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
  482 |                                                      *init_context_ptr,
      |                                                      ~~~~~~~~~~~~~~~~~~
  483 |                                                      random_seed, id,
      |                                                      ~~~~~~~~~~~~~~~~
  484 |                                                      init_radius,
      |                                                      ~~~~~~~~~~~~
  485 |                                                      epsilon, error,
      |                                                      ~~~~~~~~~~~~~~~
  486 |                                                      interrupt,
      |                                                      ~~~~~~~~~~
  487 |                                                      logger,
      |                                                      ~~~~~~~
  488 |                                                      init_writer,
      |                                                      ~~~~~~~~~~~~
  489 |                                                      sample_writer);
      |                                                      ~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::lub_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int, int, double>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, const int&, double&)::<lambda(auto:410&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::lub_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int, int, double>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, const int&, double&)::<lambda(auto:410&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::lub_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int, int, double>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, const int&, double&)::<lambda(auto:410&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::lub_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int, int, double>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, const int&, double&)::<lambda(auto:410&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::lub_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int, int, double>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, const int&, double&)::<lambda(auto:410&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_constrain.hpp:136:26:   required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, Lp&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; Lp = double; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_stan_scalar_t<T1, T2>* <anonymous> = 0; stan::require_not_var_t<typename stan::return_type<T_x, T_sigma, T_l>::type>* <anonymous> = 0; stan::require_convertible_t<typename stan::return_type<T_x, T_sigma, T_l>::type, Lp>* <anonymous> = 0]’
  136 |   return eval(x.unaryExpr(
      |               ~~~~~~~~~~~^
  137 |       [lb, ub, &lp](auto&& xx) { return lub_constrain(xx, lb, ub, lp); }));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/lub_constrain.hpp:403:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  403 |     return lub_constrain(std::forward<T>(x), std::forward<L>(lb),
      |            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  404 |                          std::forward<U>(ub), lp);
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = true; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/initialize.hpp:130:58:   required from ‘std::vector<double> stan::services::util::initialize(Model&, const InitContext&, RNG&, double, bool, stan::callbacks::logger&, stan::callbacks::writer&) [with bool Jacobian = true; Model = model_stanmarg_namespace::model_stanmarg; InitContext = stan::io::var_context; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
  130 |       log_prob = model.template log_prob<false, Jacobian>(unconstrained,
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  131 |                                                           disc_vector, &msg);
      |                                                           ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:49:53:   required from ‘int stan::services::diagnose::diagnose(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg]’
   49 |   std::vector<double> cont_vector = util::initialize(
      |                                     ~~~~~~~~~~~~~~~~^
   50 |       model, init, rng, init_radius, false, logger, init_writer);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:481:53:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  481 |     return_code = stan::services::diagnose::diagnose(model,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
  482 |                                                      *init_context_ptr,
      |                                                      ~~~~~~~~~~~~~~~~~~
  483 |                                                      random_seed, id,
      |                                                      ~~~~~~~~~~~~~~~~
  484 |                                                      init_radius,
      |                                                      ~~~~~~~~~~~~
  485 |                                                      epsilon, error,
      |                                                      ~~~~~~~~~~~~~~~
  486 |                                                      interrupt,
      |                                                      ~~~~~~~~~~
  487 |                                                      logger,
      |                                                      ~~~~~~~
  488 |                                                      init_writer,
      |                                                      ~~~~~~~~~~~~
  489 |                                                      sample_writer);
      |                                                      ~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   45 |   return m1 - m2;
      |          ~~~^~~~
stanExports_stanmarg.h:17507:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17507 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
17508 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17509 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17510 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17511 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17512 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17513 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17514 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17515 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17516 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17517 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17518 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17519 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17520 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17521 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17522 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17523 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
17524 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17525 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17526 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17527 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17528 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17529 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17530 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17531 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17532 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17533 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17534 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17535 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17536 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/transpose.hpp:18:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   18 |   return m.transpose();
      |          ~~~~~~~~~~~^~
stanExports_stanmarg.h:17507:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17507 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
17508 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17509 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17510 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17511 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17512 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17513 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17514 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17515 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17516 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17517 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17518 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17519 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17520 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17521 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17522 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17523 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
17524 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17525 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17526 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17527 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17528 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17529 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17530 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17531 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17532 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17533 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17534 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17535 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17536 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  107 |   return m1 * m2;
      |          ~~~^~~~
stanExports_stanmarg.h:17507:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17507 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
17508 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17509 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17510 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17511 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17512 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17513 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17514 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17515 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17516 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17517 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17518 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17519 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17520 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17521 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17522 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17523 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
17524 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17525 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17526 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17527 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17528 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17529 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17530 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17531 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17532 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17533 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17534 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17535 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17536 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_stanmarg.h:17507:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17507 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
17508 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17509 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17510 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17511 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17512 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17513 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17514 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17515 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17516 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17517 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17518 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17519 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17520 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17521 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17522 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17523 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
17524 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17525 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17526 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17527 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17528 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17529 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17530 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17531 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17532 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17533 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17534 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17535 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17536 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   28 |   return m1.cwiseProduct(m2);
      |          ~~~~~~~~~~~~~~~^~~~
stanExports_stanmarg.h:17507:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17507 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
17508 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17509 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17510 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17511 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17512 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17513 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17514 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17515 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17516 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17517 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17518 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17519 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17520 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17521 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17522 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17523 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
17524 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17525 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17526 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17527 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17528 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17529 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17530 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17531 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17532 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17533 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17534 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17535 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17536 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_stanmarg.h:17547:40:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17547 |                       multi_normal_suff(
      |                       ~~~~~~~~~~~~~~~~~^
17548 |                         stan::model::rvalue(YXbarstar, "YXbarstar",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17549 |                           stan::model::index_uni(mm),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17550 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
17551 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17552 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17553 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17554 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17555 |                         stan::model::rvalue(Sstar, "Sstar",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17556 |                           stan::model::index_uni(mm),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17557 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
17558 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17559 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17560 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17561 |                                   stan::model::index_uni(mm))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17562 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
17563 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17564 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17565 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17566 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17567 |                         stan::model::rvalue(Mu, "Mu",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17568 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17569 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
17570 |                             stan::model::rvalue(xidx, "xidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17571 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17572 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17573 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17574 |                         sig_inv_update(
      |                         ~~~~~~~~~~~~~~~ 
17575 |                           stan::model::rvalue(Sigmainv, "Sigmainv",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17576 |                             stan::model::index_uni(mm)), xidx,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17577 |                           stan::model::rvalue(Nx, "Nx",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17578 |                             stan::model::index_uni(mm)), (p + q),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17579 |                           stan::model::rvalue(logdetSigma_grp,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17580 |                             "logdetSigma_grp", stan::model::index_uni(grpidx)),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17581 |                           pstream__), ((r2 - r1) + 1), pstream__)));
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   28 |   return m1.cwiseProduct(m2);
      |          ~~~~~~~~~~~~~~~^~~~
stanExports_stanmarg.h:17547:40:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17547 |                       multi_normal_suff(
      |                       ~~~~~~~~~~~~~~~~~^
17548 |                         stan::model::rvalue(YXbarstar, "YXbarstar",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17549 |                           stan::model::index_uni(mm),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17550 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
17551 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17552 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17553 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17554 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17555 |                         stan::model::rvalue(Sstar, "Sstar",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17556 |                           stan::model::index_uni(mm),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
17557 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
17558 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17559 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17560 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17561 |                                   stan::model::index_uni(mm))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17562 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
17563 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17564 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17565 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17566 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17567 |                         stan::model::rvalue(Mu, "Mu",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17568 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17569 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
17570 |                             stan::model::rvalue(xidx, "xidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17571 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17572 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17573 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17574 |                         sig_inv_update(
      |                         ~~~~~~~~~~~~~~~ 
17575 |                           stan::model::rvalue(Sigmainv, "Sigmainv",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17576 |                             stan::model::index_uni(mm)), xidx,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17577 |                           stan::model::rvalue(Nx, "Nx",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17578 |                             stan::model::index_uni(mm)), (p + q),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17579 |                           stan::model::rvalue(logdetSigma_grp,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17580 |                             "logdetSigma_grp", stan::model::index_uni(grpidx)),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17581 |                           pstream__), ((r2 - r1) + 1), pstream__)));
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:76:40:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<double, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
   76 |   const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma);
      |                                 ~~~~~~~^~~~~~~~~
stanExports_stanmarg.h:17636:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17636 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
17637 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:76:50:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<double, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
   76 |   const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma);
      |                                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:17636:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17636 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
17637 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp: In instantiation of ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’:
stanExports_stanmarg.h:17707:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17707 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
17708 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare]
   83 |   for (size_t n = 0; n < stan::math::size(y); n++) {
      |                      ~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:87:70:   required from ‘stan::math::log<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&>(Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(auto:51&&)> [with auto:51 = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&]’
   87 |       std::forward<Container>(x), [](auto&& v) { return v.array().log(); });
      |                                                         ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:58:44:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   58 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
stanExports_stanmarg.h:17707:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17707 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
17708 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:106:26:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
  106 |     logp -= sum(beta_val * y_val) * N / max_size(beta, y);
      |                 ~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:17707:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17707 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
17708 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51:   required from ‘stan::math::as_array_or_scalar<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >&>(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >&)::<lambda(auto:65&&)> [with auto:65 = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >&]’
   57 |   return make_holder([](auto&& x) { return x.array(); }, std::forward<T>(v));
      |                                            ~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = stan::math::as_array_or_scalar<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >&>(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >&)::<lambda(auto:65&&)>; _Args = {const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1, 0, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > > >&}]’
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
stanExports_stanmarg.h:17713:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17713 |         lp_accum__.add((stan::math::beta_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
17714 |                           stan::math::multiply(.5,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~   
17715 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17716 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:45:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  192 |                      * CubicInterp(_gk_1.dot(_pk_1), _alphak_1, _fk - _fk_1,
      |                                    ~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:1001:72:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value<double>; Sizes = {int}; stan::require_std_vector_t<U>* <anonymous> = 0; T = stan::math::var_value<double>; size_t = long unsigned int]’
 1001 |           this->read_constrain_corr_matrix<value_type_t<Ret>, Jacobian>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1002 |               lp, sizes...));
      |               ~~~~~~~~~~~~~                                             
stanExports_stanmarg.h:18137:22:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18135 |         in__.template read_constrain_corr_matrix<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18136 |           std::vector<Eigen::Matrix<local_scalar_t__,-1,-1>>,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18137 |           jacobian__>(lp__, Theta_r_mat_1_1dim__, Theta_r_mat_1_3dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:65:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   65 |   return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob));
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:1001:72:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value<double>; Sizes = {int}; stan::require_std_vector_t<U>* <anonymous> = 0; T = stan::math::var_value<double>; size_t = long unsigned int]’
 1001 |           this->read_constrain_corr_matrix<value_type_t<Ret>, Jacobian>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1002 |               lp, sizes...));
      |               ~~~~~~~~~~~~~                                             
stanExports_stanmarg.h:18137:22:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18135 |         in__.template read_constrain_corr_matrix<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18136 |           std::vector<Eigen::Matrix<local_scalar_t__,-1,-1>>,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18137 |           jacobian__>(lp__, Theta_r_mat_1_1dim__, Theta_r_mat_1_3dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:1001:72:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value<double>; Sizes = {int}; stan::require_std_vector_t<U>* <anonymous> = 0; T = stan::math::var_value<double>; size_t = long unsigned int]’
 1001 |           this->read_constrain_corr_matrix<value_type_t<Ret>, Jacobian>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1002 |               lp, sizes...));
      |               ~~~~~~~~~~~~~                                             
stanExports_stanmarg.h:18137:22:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18135 |         in__.template read_constrain_corr_matrix<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18136 |           std::vector<Eigen::Matrix<local_scalar_t__,-1,-1>>,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18137 |           jacobian__>(lp__, Theta_r_mat_1_1dim__, Theta_r_mat_1_3dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/trace.hpp:27:50:   required from ‘auto stan::math::trace(T&&) [with T = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   27 |   return make_callback_var(arena_m.val_op().trace(),
      |                            ~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:22:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)> [with auto:61 = Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6806:39:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> model_stanmarg_namespace::eval_priors(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, const T24__&, const T25__&, std::ostream*) [with T0__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T1__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T2__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T3__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T4__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T5__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T6__ = std::vector<double>; T7__ = std::vector<int>; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = std::vector<double>; T11__ = std::vector<int>; T12__ = std::vector<int>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = std::vector<double>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T18__ = std::vector<double>; T19__ = std::vector<int>; T20__ = std::vector<int>; T21__ = std::vector<int>; T22__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T23__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T24__ = int; T25__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_col_vector<Col>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T5__>, stan::is_vt_not_complex<T4__>, stan::is_std_vector<T6, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T6__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T6__, void>::type>::type> >, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_std_vector<T10__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T10__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T10__, void>::type>::type> >, stan::is_std_vector<T11__, void>, std::is_integral<typename std::decay<typename stan::value_type<T11__, void>::type>::type>, stan::is_std_vector<T12__, void>, std::is_integral<typename std::decay<typename stan::value_type<T12__, void>::type>::type>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_std_vector<T14__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T14__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T14__, void>::type>::type> >, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_col_vector<T17__>, stan::is_vt_not_complex<T17__>, stan::is_std_vector<T18__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T18__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T18__, void>::type>::type> >, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, stan::is_std_vector<T20__, void>, std::is_integral<typename std::decay<typename stan::value_type<T20__, void>::type>::type>, stan::is_std_vector<T21__, void>, std::is_integral<typename std::decay<typename stan::value_type<T21__, void>::type>::type>, stan::is_col_vector<T22__>, stan::is_vt_not_complex<T22__>, stan::is_col_vector<T23__>, stan::is_vt_not_complex<T23__>, std::is_integral<typename std::decay<T24__>::type>, std::is_integral<typename std::decay<T25__>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; typename stan::base_type<Check, void>::type = stan::math::var_value<double>; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T4__, void>::type = stan::math::var_value<double>; typename stan::base_type<T6__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = double; typename stan::base_type<T17__, void>::type = stan::math::var_value<double>; typename stan::base_type<T18__, void>::type = double; typename stan::base_type<T22__, void>::type = double; typename stan::base_type<T23__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6806 |         stan::math::normal_lpdf<false>(Lambda_y_free, lambda_y_primn,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6807 |           lambda_y_sd));
      |           ~~~~~~~~~~~~                 
stanExports_stanmarg.h:19949:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19949 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19950 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19951 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19952 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19953 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19954 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::<lambda(auto:61&&)> [with auto:61 = Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:417:28:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6806:39:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> model_stanmarg_namespace::eval_priors(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, const T24__&, const T25__&, std::ostream*) [with T0__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T1__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T2__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T3__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T4__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T5__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T6__ = std::vector<double>; T7__ = std::vector<int>; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = std::vector<double>; T11__ = std::vector<int>; T12__ = std::vector<int>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = std::vector<double>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T18__ = std::vector<double>; T19__ = std::vector<int>; T20__ = std::vector<int>; T21__ = std::vector<int>; T22__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T23__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T24__ = int; T25__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_col_vector<Col>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T5__>, stan::is_vt_not_complex<T4__>, stan::is_std_vector<T6, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T6__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T6__, void>::type>::type> >, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_std_vector<T10__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T10__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T10__, void>::type>::type> >, stan::is_std_vector<T11__, void>, std::is_integral<typename std::decay<typename stan::value_type<T11__, void>::type>::type>, stan::is_std_vector<T12__, void>, std::is_integral<typename std::decay<typename stan::value_type<T12__, void>::type>::type>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_std_vector<T14__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T14__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T14__, void>::type>::type> >, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_col_vector<T17__>, stan::is_vt_not_complex<T17__>, stan::is_std_vector<T18__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T18__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T18__, void>::type>::type> >, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, stan::is_std_vector<T20__, void>, std::is_integral<typename std::decay<typename stan::value_type<T20__, void>::type>::type>, stan::is_std_vector<T21__, void>, std::is_integral<typename std::decay<typename stan::value_type<T21__, void>::type>::type>, stan::is_col_vector<T22__>, stan::is_vt_not_complex<T22__>, stan::is_col_vector<T23__>, stan::is_vt_not_complex<T23__>, std::is_integral<typename std::decay<T24__>::type>, std::is_integral<typename std::decay<T25__>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; typename stan::base_type<Check, void>::type = stan::math::var_value<double>; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T4__, void>::type = stan::math::var_value<double>; typename stan::base_type<T6__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = double; typename stan::base_type<T17__, void>::type = stan::math::var_value<double>; typename stan::base_type<T18__, void>::type = double; typename stan::base_type<T22__, void>::type = double; typename stan::base_type<T23__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6806 |         stan::math::normal_lpdf<false>(Lambda_y_free, lambda_y_primn,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6807 |           lambda_y_sd));
      |           ~~~~~~~~~~~~                 
stanExports_stanmarg.h:19949:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19949 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19950 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19951 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19952 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19953 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19954 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> > >(Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> > >(Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> > >(Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> > >(Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> > >(Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> > >(Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&&)::<lambda(auto:61&&)> [with auto:61 = Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:7000:41:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> model_stanmarg_namespace::eval_priors(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, const T24__&, const T25__&, std::ostream*) [with T0__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T1__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T2__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T3__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T4__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T5__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T6__ = std::vector<double>; T7__ = std::vector<int>; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = std::vector<double>; T11__ = std::vector<int>; T12__ = std::vector<int>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = std::vector<double>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T18__ = std::vector<double>; T19__ = std::vector<int>; T20__ = std::vector<int>; T21__ = std::vector<int>; T22__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T23__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T24__ = int; T25__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_col_vector<Col>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T5__>, stan::is_vt_not_complex<T4__>, stan::is_std_vector<T6, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T6__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T6__, void>::type>::type> >, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_std_vector<T10__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T10__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T10__, void>::type>::type> >, stan::is_std_vector<T11__, void>, std::is_integral<typename std::decay<typename stan::value_type<T11__, void>::type>::type>, stan::is_std_vector<T12__, void>, std::is_integral<typename std::decay<typename stan::value_type<T12__, void>::type>::type>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_std_vector<T14__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T14__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T14__, void>::type>::type> >, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_col_vector<T17__>, stan::is_vt_not_complex<T17__>, stan::is_std_vector<T18__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T18__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T18__, void>::type>::type> >, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, stan::is_std_vector<T20__, void>, std::is_integral<typename std::decay<typename stan::value_type<T20__, void>::type>::type>, stan::is_std_vector<T21__, void>, std::is_integral<typename std::decay<typename stan::value_type<T21__, void>::type>::type>, stan::is_col_vector<T22__>, stan::is_vt_not_complex<T22__>, stan::is_col_vector<T23__>, stan::is_vt_not_complex<T23__>, std::is_integral<typename std::decay<T24__>::type>, std::is_integral<typename std::decay<T25__>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; typename stan::base_type<Check, void>::type = stan::math::var_value<double>; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T4__, void>::type = stan::math::var_value<double>; typename stan::base_type<T6__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = double; typename stan::base_type<T17__, void>::type = stan::math::var_value<double>; typename stan::base_type<T18__, void>::type = double; typename stan::base_type<T22__, void>::type = double; typename stan::base_type<T23__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 7000 |           stan::math::normal_lpdf<false>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 7001 |             stan::model::rvalue(parvec, "parvec",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7002 |               stan::model::index_min_max(1, (npars - 1))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7003 |             static_cast<double>(0),
      |             ~~~~~~~~~~~~~~~~~~~~~~~      
 7004 |             stan::model::rvalue(sd0, "sd0", stan::model::index_uni(i))));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19949:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19949 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19950 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19951 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19952 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19953 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19954 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> > >(Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> > >(Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> > >(Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> > >(Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> > >(Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> > >(Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&&)::<lambda(auto:61&&)> [with auto:61 = Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >&]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:417:28:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:7000:41:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> model_stanmarg_namespace::eval_priors(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, const T24__&, const T25__&, std::ostream*) [with T0__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T1__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T2__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T3__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T4__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T5__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T6__ = std::vector<double>; T7__ = std::vector<int>; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = std::vector<double>; T11__ = std::vector<int>; T12__ = std::vector<int>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = std::vector<double>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T18__ = std::vector<double>; T19__ = std::vector<int>; T20__ = std::vector<int>; T21__ = std::vector<int>; T22__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T23__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T24__ = int; T25__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_col_vector<Col>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T5__>, stan::is_vt_not_complex<T4__>, stan::is_std_vector<T6, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T6__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T6__, void>::type>::type> >, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_std_vector<T10__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T10__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T10__, void>::type>::type> >, stan::is_std_vector<T11__, void>, std::is_integral<typename std::decay<typename stan::value_type<T11__, void>::type>::type>, stan::is_std_vector<T12__, void>, std::is_integral<typename std::decay<typename stan::value_type<T12__, void>::type>::type>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_std_vector<T14__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T14__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T14__, void>::type>::type> >, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_col_vector<T17__>, stan::is_vt_not_complex<T17__>, stan::is_std_vector<T18__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T18__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T18__, void>::type>::type> >, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, stan::is_std_vector<T20__, void>, std::is_integral<typename std::decay<typename stan::value_type<T20__, void>::type>::type>, stan::is_std_vector<T21__, void>, std::is_integral<typename std::decay<typename stan::value_type<T21__, void>::type>::type>, stan::is_col_vector<T22__>, stan::is_vt_not_complex<T22__>, stan::is_col_vector<T23__>, stan::is_vt_not_complex<T23__>, std::is_integral<typename std::decay<T24__>::type>, std::is_integral<typename std::decay<T25__>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; typename stan::base_type<Check, void>::type = stan::math::var_value<double>; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T4__, void>::type = stan::math::var_value<double>; typename stan::base_type<T6__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = double; typename stan::base_type<T17__, void>::type = stan::math::var_value<double>; typename stan::base_type<T18__, void>::type = double; typename stan::base_type<T22__, void>::type = double; typename stan::base_type<T23__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 7000 |           stan::math::normal_lpdf<false>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 7001 |             stan::model::rvalue(parvec, "parvec",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7002 |               stan::model::index_min_max(1, (npars - 1))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7003 |             static_cast<double>(0),
      |             ~~~~~~~~~~~~~~~~~~~~~~~      
 7004 |             stan::model::rvalue(sd0, "sd0", stan::model::index_uni(i))));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19949:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19949 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19950 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19951 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19952 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19953 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19954 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:76:40:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_loc = double; T_scale = var_value<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   76 |   const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma);
      |                                 ~~~~~~~^~~~~~~~~
stanExports_stanmarg.h:7000:41:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> model_stanmarg_namespace::eval_priors(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, const T24__&, const T25__&, std::ostream*) [with T0__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T1__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T2__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T3__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T4__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T5__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T6__ = std::vector<double>; T7__ = std::vector<int>; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = std::vector<double>; T11__ = std::vector<int>; T12__ = std::vector<int>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = std::vector<double>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T18__ = std::vector<double>; T19__ = std::vector<int>; T20__ = std::vector<int>; T21__ = std::vector<int>; T22__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T23__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T24__ = int; T25__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_col_vector<Col>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T5__>, stan::is_vt_not_complex<T4__>, stan::is_std_vector<T6, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T6__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T6__, void>::type>::type> >, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_std_vector<T10__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T10__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T10__, void>::type>::type> >, stan::is_std_vector<T11__, void>, std::is_integral<typename std::decay<typename stan::value_type<T11__, void>::type>::type>, stan::is_std_vector<T12__, void>, std::is_integral<typename std::decay<typename stan::value_type<T12__, void>::type>::type>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_std_vector<T14__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T14__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T14__, void>::type>::type> >, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_col_vector<T17__>, stan::is_vt_not_complex<T17__>, stan::is_std_vector<T18__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T18__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T18__, void>::type>::type> >, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, stan::is_std_vector<T20__, void>, std::is_integral<typename std::decay<typename stan::value_type<T20__, void>::type>::type>, stan::is_std_vector<T21__, void>, std::is_integral<typename std::decay<typename stan::value_type<T21__, void>::type>::type>, stan::is_col_vector<T22__>, stan::is_vt_not_complex<T22__>, stan::is_col_vector<T23__>, stan::is_vt_not_complex<T23__>, std::is_integral<typename std::decay<T24__>::type>, std::is_integral<typename std::decay<T25__>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; typename stan::base_type<Check, void>::type = stan::math::var_value<double>; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T4__, void>::type = stan::math::var_value<double>; typename stan::base_type<T6__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = double; typename stan::base_type<T17__, void>::type = stan::math::var_value<double>; typename stan::base_type<T18__, void>::type = double; typename stan::base_type<T22__, void>::type = double; typename stan::base_type<T23__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 7000 |           stan::math::normal_lpdf<false>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 7001 |             stan::model::rvalue(parvec, "parvec",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7002 |               stan::model::index_min_max(1, (npars - 1))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7003 |             static_cast<double>(0),
      |             ~~~~~~~~~~~~~~~~~~~~~~~      
 7004 |             stan::model::rvalue(sd0, "sd0", stan::model::index_uni(i))));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19949:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19949 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19950 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19951 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19952 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19953 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19954 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:76:50:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_loc = double; T_scale = var_value<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   76 |   const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma);
      |                                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:7000:41:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> model_stanmarg_namespace::eval_priors(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, const T24__&, const T25__&, std::ostream*) [with T0__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T1__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T2__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T3__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T4__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T5__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T6__ = std::vector<double>; T7__ = std::vector<int>; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = std::vector<double>; T11__ = std::vector<int>; T12__ = std::vector<int>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = std::vector<double>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T18__ = std::vector<double>; T19__ = std::vector<int>; T20__ = std::vector<int>; T21__ = std::vector<int>; T22__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T23__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T24__ = int; T25__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_col_vector<Col>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T5__>, stan::is_vt_not_complex<T4__>, stan::is_std_vector<T6, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T6__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T6__, void>::type>::type> >, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_std_vector<T10__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T10__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T10__, void>::type>::type> >, stan::is_std_vector<T11__, void>, std::is_integral<typename std::decay<typename stan::value_type<T11__, void>::type>::type>, stan::is_std_vector<T12__, void>, std::is_integral<typename std::decay<typename stan::value_type<T12__, void>::type>::type>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_std_vector<T14__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T14__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T14__, void>::type>::type> >, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_col_vector<T17__>, stan::is_vt_not_complex<T17__>, stan::is_std_vector<T18__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T18__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T18__, void>::type>::type> >, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, stan::is_std_vector<T20__, void>, std::is_integral<typename std::decay<typename stan::value_type<T20__, void>::type>::type>, stan::is_std_vector<T21__, void>, std::is_integral<typename std::decay<typename stan::value_type<T21__, void>::type>::type>, stan::is_col_vector<T22__>, stan::is_vt_not_complex<T22__>, stan::is_col_vector<T23__>, stan::is_vt_not_complex<T23__>, std::is_integral<typename std::decay<T24__>::type>, std::is_integral<typename std::decay<T25__>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; typename stan::base_type<Check, void>::type = stan::math::var_value<double>; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T4__, void>::type = stan::math::var_value<double>; typename stan::base_type<T6__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = double; typename stan::base_type<T17__, void>::type = stan::math::var_value<double>; typename stan::base_type<T18__, void>::type = double; typename stan::base_type<T22__, void>::type = double; typename stan::base_type<T23__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 7000 |           stan::math::normal_lpdf<false>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 7001 |             stan::model::rvalue(parvec, "parvec",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7002 |               stan::model::index_min_max(1, (npars - 1))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7003 |             static_cast<double>(0),
      |             ~~~~~~~~~~~~~~~~~~~~~~~      
 7004 |             stan::model::rvalue(sd0, "sd0", stan::model::index_uni(i))));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19949:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19949 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19950 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19951 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19952 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19953 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19954 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:93:19:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_loc = double; T_scale = var_value<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |         inv_sigma * y_scaled);
      |         ~~~~~~~~~~^~~~~~~~~~
stanExports_stanmarg.h:7000:41:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> model_stanmarg_namespace::eval_priors(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, const T24__&, const T25__&, std::ostream*) [with T0__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T1__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T2__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T3__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T4__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T5__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T6__ = std::vector<double>; T7__ = std::vector<int>; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = std::vector<double>; T11__ = std::vector<int>; T12__ = std::vector<int>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = std::vector<double>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T18__ = std::vector<double>; T19__ = std::vector<int>; T20__ = std::vector<int>; T21__ = std::vector<int>; T22__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T23__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T24__ = int; T25__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_col_vector<Col>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T5__>, stan::is_vt_not_complex<T4__>, stan::is_std_vector<T6, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T6__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T6__, void>::type>::type> >, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_std_vector<T10__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T10__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T10__, void>::type>::type> >, stan::is_std_vector<T11__, void>, std::is_integral<typename std::decay<typename stan::value_type<T11__, void>::type>::type>, stan::is_std_vector<T12__, void>, std::is_integral<typename std::decay<typename stan::value_type<T12__, void>::type>::type>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_std_vector<T14__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T14__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T14__, void>::type>::type> >, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_col_vector<T17__>, stan::is_vt_not_complex<T17__>, stan::is_std_vector<T18__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T18__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T18__, void>::type>::type> >, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, stan::is_std_vector<T20__, void>, std::is_integral<typename std::decay<typename stan::value_type<T20__, void>::type>::type>, stan::is_std_vector<T21__, void>, std::is_integral<typename std::decay<typename stan::value_type<T21__, void>::type>::type>, stan::is_col_vector<T22__>, stan::is_vt_not_complex<T22__>, stan::is_col_vector<T23__>, stan::is_vt_not_complex<T23__>, std::is_integral<typename std::decay<T24__>::type>, std::is_integral<typename std::decay<T25__>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; typename stan::base_type<Check, void>::type = stan::math::var_value<double>; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T4__, void>::type = stan::math::var_value<double>; typename stan::base_type<T6__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = double; typename stan::base_type<T17__, void>::type = stan::math::var_value<double>; typename stan::base_type<T18__, void>::type = double; typename stan::base_type<T22__, void>::type = double; typename stan::base_type<T23__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 7000 |           stan::math::normal_lpdf<false>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 7001 |             stan::model::rvalue(parvec, "parvec",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7002 |               stan::model::index_min_max(1, (npars - 1))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7003 |             static_cast<double>(0),
      |             ~~~~~~~~~~~~~~~~~~~~~~~      
 7004 |             stan::model::rvalue(sd0, "sd0", stan::model::index_uni(i))));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19949:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19949 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19950 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19951 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19952 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19953 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19954 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:98:59:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_loc = double; T_scale = var_value<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   98 |       partials<2>(ops_partials) = inv_sigma * y_scaled_sq - inv_sigma;
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:7000:41:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> model_stanmarg_namespace::eval_priors(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, const T24__&, const T25__&, std::ostream*) [with T0__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T1__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T2__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T3__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T4__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T5__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T6__ = std::vector<double>; T7__ = std::vector<int>; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = std::vector<double>; T11__ = std::vector<int>; T12__ = std::vector<int>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = std::vector<double>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T18__ = std::vector<double>; T19__ = std::vector<int>; T20__ = std::vector<int>; T21__ = std::vector<int>; T22__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T23__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T24__ = int; T25__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_col_vector<Col>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T5__>, stan::is_vt_not_complex<T4__>, stan::is_std_vector<T6, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T6__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T6__, void>::type>::type> >, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_std_vector<T10__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T10__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T10__, void>::type>::type> >, stan::is_std_vector<T11__, void>, std::is_integral<typename std::decay<typename stan::value_type<T11__, void>::type>::type>, stan::is_std_vector<T12__, void>, std::is_integral<typename std::decay<typename stan::value_type<T12__, void>::type>::type>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_std_vector<T14__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T14__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T14__, void>::type>::type> >, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_col_vector<T17__>, stan::is_vt_not_complex<T17__>, stan::is_std_vector<T18__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T18__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T18__, void>::type>::type> >, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, stan::is_std_vector<T20__, void>, std::is_integral<typename std::decay<typename stan::value_type<T20__, void>::type>::type>, stan::is_std_vector<T21__, void>, std::is_integral<typename std::decay<typename stan::value_type<T21__, void>::type>::type>, stan::is_col_vector<T22__>, stan::is_vt_not_complex<T22__>, stan::is_col_vector<T23__>, stan::is_vt_not_complex<T23__>, std::is_integral<typename std::decay<T24__>::type>, std::is_integral<typename std::decay<T25__>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; typename stan::base_type<Check, void>::type = stan::math::var_value<double>; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T4__, void>::type = stan::math::var_value<double>; typename stan::base_type<T6__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = double; typename stan::base_type<T17__, void>::type = stan::math::var_value<double>; typename stan::base_type<T18__, void>::type = double; typename stan::base_type<T22__, void>::type = double; typename stan::base_type<T23__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 7000 |           stan::math::normal_lpdf<false>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 7001 |             stan::model::rvalue(parvec, "parvec",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7002 |               stan::model::index_min_max(1, (npars - 1))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7003 |             static_cast<double>(0),
      |             ~~~~~~~~~~~~~~~~~~~~~~~      
 7004 |             stan::model::rvalue(sd0, "sd0", stan::model::index_uni(i))));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19949:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19949 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19950 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19951 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19952 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19953 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19954 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:46&&)>::<lambda(auto:47)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:46&&)>::<lambda(auto:47)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:46&&)>::<lambda(auto:47)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:46&&)>::<lambda(auto:47)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:46&&)>::<lambda(auto:47)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:99:27:   required from ‘stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(auto:46&&)> [with auto:46 = const Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>&]’
   99 |         return m.unaryExpr([](auto x) { return value_of_rec(x); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/lkj_corr_lpdf.hpp:56:20:   required from ‘stan::return_type_t<T1, T2> stan::math::lkj_corr_lpdf(const T_y&, const T_shape&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; T_shape = double; stan::return_type_t<T1, T2> = var_value<double>]’
   56 |   check_corr_matrix(function, "Correlation matrix", y_ref);
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:20054:62:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20054 |               lp_accum__.add(stan::math::lkj_corr_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
20055 |                                stan::model::rvalue(Psi_r_mat_1,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20056 |                                  "Psi_r_mat_1",
      |                                  ~~~~~~~~~~~~~~               
20057 |                                  stan::model::index_uni(blkidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20058 |                                stan::model::rvalue(psiblkpri, "psiblkpri",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20059 |                                  stan::model::index_uni(k))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~  
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/sum.hpp:32:41:   required from ‘stan::math::var stan::math::sum(const std::vector<var_value<double>, Alloc>&) [with Alloc = arena_allocator<var_value<double> >; var = var_value<double>]’
   32 |     return make_callback_var(arena_m.val().sum(), [arena_m](auto& vi) mutable {
      |                              ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/accumulator.hpp:135:50:   required from ‘stan::math::var stan::math::accumulator<T, typename std::enable_if<stan::is_var<typename std::decay<_Tp>::type>::value, void>::type>::sum() const [with T = stan::math::var_value<double>; typename std::enable_if<stan::is_var<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = stan::math::var_value<double>; stan::math::var = stan::math::var_value<double>]’
  135 |   inline var sum() const { return stan::math::sum(buf_); }
      |                                   ~~~~~~~~~~~~~~~^~~~~~
stanExports_stanmarg.h:20415:26:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20415 |     return lp_accum__.sum();
      |            ~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16:   required from ‘auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; Vec2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vector_t<EigVec1, EigVec2>* <anonymous> = 0; stan::require_not_var_t<typename stan::return_type<T1, T2>::type>* <anonymous> = 0]’
   26 |   return v1.dot(v2);
      |          ~~~~~~^~~~
stanExports_stanmarg.h:6137:44:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6137 |                     stan::math::dot_product(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~^
 6138 |                       stan::model::rvalue(Wp, "Wp",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6139 |                         stan::model::index_uni(p),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6140 |                         stan::model::index_uni(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~
 6141 |                           stan::model::rvalue(bpos, "bpos",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6142 |                             stan::model::index_uni(bb))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6143 |                         stan::model::index_min_max(1, no)), resid)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16:   required from ‘auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; Vec2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vector_t<EigVec1, EigVec2>* <anonymous> = 0; stan::require_not_var_t<typename stan::return_type<T1, T2>::type>* <anonymous> = 0]’
   26 |   return v1.dot(v2);
      |          ~~~~~~^~~~
stanExports_stanmarg.h:6137:44:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6137 |                     stan::math::dot_product(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~^
 6138 |                       stan::model::rvalue(Wp, "Wp",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6139 |                         stan::model::index_uni(p),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6140 |                         stan::model::index_uni(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~
 6141 |                           stan::model::rvalue(bpos, "bpos",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6142 |                             stan::model::index_uni(bb))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6143 |                         stan::model::index_min_max(1, no)), resid)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16:   required from ‘auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Matrix<double, -1, 1>; Vec2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vector_t<EigVec1, EigVec2>* <anonymous> = 0; stan::require_not_var_t<typename stan::return_type<T1, T2>::type>* <anonymous> = 0]’
   26 |   return v1.dot(v2);
      |          ~~~~~~^~~~
stanExports_stanmarg.h:6361:36:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6361 |             stan::math::dot_product(
      |             ~~~~~~~~~~~~~~~~~~~~~~~^
 6362 |               stan::model::rvalue(g_j, "g_j", stan::model::index_uni(j)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6363 |               stan::math::multiply(
      |               ~~~~~~~~~~~~~~~~~~~~~ 
 6364 |                 stan::model::rvalue(A_j, "A_j", stan::model::index_uni(j)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6365 |                 sol_g)), "assigning variable q_zz_b",
      |                 ~~~~~~~             
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1> >(const char*, const char*, const Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>&)::<lambda(double)>; T = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>]’
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_prec_lpdf.hpp:73:18:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_prec_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::return_type_t<T, L, U> = double]’
   73 |     check_not_nan(function, "Random variable", y_vec[i]);
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23957:62:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23957 |                     stan::math::multi_normal_prec_lpdf<false>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
23958 |                       stan::model::rvalue(YXstar, "YXstar",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
23959 |                         stan::model::index_uni(jj),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~           
23960 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
23961 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
23962 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
23963 |                       stan::model::rvalue(Mu, "Mu",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
23964 |                         stan::model::index_uni(grpidx),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~       
23965 |                         stan::model::index_multi(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~             
23966 |                           stan::model::rvalue(obsidx, "obsidx",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23967 |                             stan::model::index_min_max(1,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
23968 |                               stan::model::rvalue(Nobs, "Nobs",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23969 |                                 stan::model::index_uni(mm)))))),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23970 |                       stan::model::rvalue(Sigmainv_patt, "Sigmainv_patt",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23971 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
23972 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
23973 |                             stan::model::index_uni(mm))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
23974 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
23975 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
23976 |                             stan::model::index_uni(mm))))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  453 |   RealScalar scale = mat.cwiseAbs().maxCoeff();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   93 |     essential = tail / (c0 - beta);
      |                 ~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  372 |     hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1);
      |                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/square.hpp:70:73:   required from ‘stan::math::square<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:258&&)> [with auto:258 = Eigen::Matrix<double, -1, 1>&]’
   70 |       std::forward<Container>(x), [](auto&& v) { return v.array().square(); });
      |                                                         ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:44:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   46 |     if constexpr (is_eigen_array<decltype(f(x))>::value) {
      |                                           ~^~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = true; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/initialize.hpp:130:58:   required from ‘std::vector<double> stan::services::util::initialize(Model&, const InitContext&, RNG&, double, bool, stan::callbacks::logger&, stan::callbacks::writer&) [with bool Jacobian = true; Model = model_stanmarg_namespace::model_stanmarg; InitContext = stan::io::var_context; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
  130 |       log_prob = model.template log_prob<false, Jacobian>(unconstrained,
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  131 |                                                           disc_vector, &msg);
      |                                                           ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:49:53:   required from ‘int stan::services::diagnose::diagnose(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg]’
   49 |   std::vector<double> cont_vector = util::initialize(
      |                                     ~~~~~~~~~~~~~~~~^
   50 |       model, init, rng, init_radius, false, logger, init_writer);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:481:53:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  481 |     return_code = stan::services::diagnose::diagnose(model,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
  482 |                                                      *init_context_ptr,
      |                                                      ~~~~~~~~~~~~~~~~~~
  483 |                                                      random_seed, id,
      |                                                      ~~~~~~~~~~~~~~~~
  484 |                                                      init_radius,
      |                                                      ~~~~~~~~~~~~
  485 |                                                      epsilon, error,
      |                                                      ~~~~~~~~~~~~~~~
  486 |                                                      interrupt,
      |                                                      ~~~~~~~~~~
  487 |                                                      logger,
      |                                                      ~~~~~~~
  488 |                                                      init_writer,
      |                                                      ~~~~~~~~~~~~
  489 |                                                      sample_writer);
      |                                                      ~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:48:71:   required from ‘stan::math::apply_vector_unary<Eigen::Matrix<double, -1, 1>&, void>::apply<stan::math::square<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:258&&)>, Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&, stan::math::square<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:258&&)>&&)::<lambda(auto:16&&)> [with auto:16 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >]’
   48 |           [](auto&& xx) { return std::forward<decltype(xx)>(xx).matrix(); },
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = stan::math::apply_vector_unary<Eigen::Matrix<double, -1, 1>&, void>::apply<stan::math::square<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:258&&)>, Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&, stan::math::square<Eigen::Matrix<double, -1, 1>&>(Eigen::Matrix<double, -1, 1>&)::<lambda(auto:258&&)>&&)::<lambda(auto:16&&)>; _Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > >&&}]’
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = true; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/initialize.hpp:130:58:   required from ‘std::vector<double> stan::services::util::initialize(Model&, const InitContext&, RNG&, double, bool, stan::callbacks::logger&, stan::callbacks::writer&) [with bool Jacobian = true; Model = model_stanmarg_namespace::model_stanmarg; InitContext = stan::io::var_context; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
  130 |       log_prob = model.template log_prob<false, Jacobian>(unconstrained,
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  131 |                                                           disc_vector, &msg);
      |                                                           ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:49:53:   required from ‘int stan::services::diagnose::diagnose(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg]’
   49 |   std::vector<double> cont_vector = util::initialize(
      |                                     ~~~~~~~~~~~~~~~~^
   50 |       model, init, rng, init_radius, false, logger, init_writer);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:481:53:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  481 |     return_code = stan::services::diagnose::diagnose(model,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
  482 |                                                      *init_context_ptr,
      |                                                      ~~~~~~~~~~~~~~~~~~
  483 |                                                      random_seed, id,
      |                                                      ~~~~~~~~~~~~~~~~
  484 |                                                      init_radius,
      |                                                      ~~~~~~~~~~~~
  485 |                                                      epsilon, error,
      |                                                      ~~~~~~~~~~~~~~~
  486 |                                                      interrupt,
      |                                                      ~~~~~~~~~~
  487 |                                                      logger,
      |                                                      ~~~~~~~
  488 |                                                      init_writer,
      |                                                      ~~~~~~~~~~~~
  489 |                                                      sample_writer);
      |                                                      ~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, void>::apply<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, void>::apply<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, void>::apply<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, void>::apply<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, void>::apply<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:66:58:   required from ‘stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, void>::apply<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:12&&)> [with auto:12 = Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >]’
   66 |           return std::forward<decltype(xx)>(xx).unaryExpr([](auto&& xxx) {
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
   67 |             return apply_scalar_unary<F, decltype(xxx)>::apply(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |                 std::forward<decltype(xxx)>(xxx));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
   69 |           });
      |           ~~                                              
/usr/include/c++/16/type_traits:2890:26:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = true; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/initialize.hpp:130:58:   required from ‘std::vector<double> stan::services::util::initialize(Model&, const InitContext&, RNG&, double, bool, stan::callbacks::logger&, stan::callbacks::writer&) [with bool Jacobian = true; Model = model_stanmarg_namespace::model_stanmarg; InitContext = stan::io::var_context; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
  130 |       log_prob = model.template log_prob<false, Jacobian>(unconstrained,
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  131 |                                                           disc_vector, &msg);
      |                                                           ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:49:53:   required from ‘int stan::services::diagnose::diagnose(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg]’
   49 |   std::vector<double> cont_vector = util::initialize(
      |                                     ~~~~~~~~~~~~~~~~^
   50 |       model, init, rng, init_radius, false, logger, init_writer);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:481:53:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  481 |     return_code = stan::services::diagnose::diagnose(model,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
  482 |                                                      *init_context_ptr,
      |                                                      ~~~~~~~~~~~~~~~~~~
  483 |                                                      random_seed, id,
      |                                                      ~~~~~~~~~~~~~~~~
  484 |                                                      init_radius,
      |                                                      ~~~~~~~~~~~~
  485 |                                                      epsilon, error,
      |                                                      ~~~~~~~~~~~~~~~
  486 |                                                      interrupt,
      |                                                      ~~~~~~~~~~
  487 |                                                      logger,
      |                                                      ~~~~~~~
  488 |                                                      init_writer,
      |                                                      ~~~~~~~~~~~~
  489 |                                                      sample_writer);
      |                                                      ~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, void>::apply<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, void>::apply<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, void>::apply<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, void>::apply<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, void>::apply<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:12&&)>::<lambda(auto:13&&)>, const Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:66:58:   required from ‘stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, void>::apply<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >(Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >&&)::<lambda(auto:12&&)> [with auto:12 = Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >&]’
   66 |           return std::forward<decltype(xx)>(xx).unaryExpr([](auto&& xxx) {
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
   67 |             return apply_scalar_unary<F, decltype(xxx)>::apply(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |                 std::forward<decltype(xxx)>(xxx));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
   69 |           });
      |           ~~                                              
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:417:28:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  417 |       std::forward<F>(func)(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = true; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/initialize.hpp:130:58:   required from ‘std::vector<double> stan::services::util::initialize(Model&, const InitContext&, RNG&, double, bool, stan::callbacks::logger&, stan::callbacks::writer&) [with bool Jacobian = true; Model = model_stanmarg_namespace::model_stanmarg; InitContext = stan::io::var_context; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
  130 |       log_prob = model.template log_prob<false, Jacobian>(unconstrained,
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  131 |                                                           disc_vector, &msg);
      |                                                           ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:49:53:   required from ‘int stan::services::diagnose::diagnose(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg]’
   49 |   std::vector<double> cont_vector = util::initialize(
      |                                     ~~~~~~~~~~~~~~~~^
   50 |       model, init, rng, init_radius, false, logger, init_writer);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:481:53:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  481 |     return_code = stan::services::diagnose::diagnose(model,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
  482 |                                                      *init_context_ptr,
      |                                                      ~~~~~~~~~~~~~~~~~~
  483 |                                                      random_seed, id,
      |                                                      ~~~~~~~~~~~~~~~~
  484 |                                                      init_radius,
      |                                                      ~~~~~~~~~~~~
  485 |                                                      epsilon, error,
      |                                                      ~~~~~~~~~~~~~~~
  486 |                                                      interrupt,
      |                                                      ~~~~~~~~~~
  487 |                                                      logger,
      |                                                      ~~~~~~~
  488 |                                                      init_writer,
      |                                                      ~~~~~~~~~~~~
  489 |                                                      sample_writer);
      |                                                      ~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51:   required from ‘stan::math::as_array_or_scalar<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:65&&)> [with auto:65 = const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&]’
   57 |   return make_holder([](auto&& x) { return x.array(); }, std::forward<T>(v));
      |                                            ~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:17629:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17629 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17630 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17631 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17632 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17633 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17634 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:76:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   76 |   const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma);
      |                                 ~~~~~~~^~~~~~~~~
stanExports_stanmarg.h:17629:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17629 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17630 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17631 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17632 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17633 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17634 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:76:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   76 |   const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma);
      |                                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:17629:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17629 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17630 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17631 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17632 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17633 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17634 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51:   required from ‘stan::math::as_array_or_scalar<const Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>&)::<lambda(auto:65&&)> [with auto:65 = const Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>&]’
   57 |   return make_holder([](auto&& x) { return x.array(); }, std::forward<T>(v));
      |                                            ~~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:17629:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17629 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17630 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17631 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17632 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17633 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17634 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:76:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   76 |   const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma);
      |                                 ~~~~~~~^~~~~~~~~
stanExports_stanmarg.h:17629:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17629 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17630 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17631 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17632 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17633 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17634 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:76:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   76 |   const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma);
      |                                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:17629:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17629 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17630 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17631 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17632 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17633 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17634 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Matrix<var_value<double>, -1, 1> >(const char*, const char*, const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<var_value<double>, -1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from ‘void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<var_value<double>, -1, 1>]’
   29 |   elementwise_check([](double x) { return x > 0; }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     "positive");
      |                     ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:42:17:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; typename stan::value_type<T>::type = var_value<double>]’
   42 |   check_positive("inverse_spd", "matrix not positive definite", diag_ldlt);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19314:36:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19314 |             stan::math::inverse_spd(
      |             ~~~~~~~~~~~~~~~~~~~~~~~^
19315 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  178 | class Matrix
      |       ^~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from ‘stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   47 |   return m.sum();
      |          ~~~~~^~
stanExports_stanmarg.h:19609:47:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19609 |               lp_accum__.add(-(stan::math::sum(
      |                               ~~~~~~~~~~~~~~~~^
19610 |                                  stan::model::rvalue(log_lik_x, "log_lik_x",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19611 |                                    stan::model::index_min_max(r3, r4)))));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:634:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  634 |   bAndX = this->solve(bAndX);
      |           ~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:89:46:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   89 |     lp -= 0.5 * nu_ref * log_determinant_ldlt(ldlt_S);
      |                          ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Matrix<var_value<double>, -1, 1> >(const char*, const char*, const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<var_value<double>, -1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<var_value<double>, -1, 1>]’
   29 |   elementwise_check([](double x) { return std::isfinite(x); }, function, name,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     y, "finite");
      |                     ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:90:17:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<var_value<double>, -1, 1>, std::allocator<Eigen::Matrix<var_value<double>, -1, 1> > >; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Holder<Eigen::IndexedView<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_any_not_vector_vt<stan::is_stan_scalar, T_y, T_loc>* <anonymous> = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   90 |     check_finite(function, "Location parameter", mu_vec[i]);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19759:72:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19759 |                     lp_accum__.add(stan::math::multi_normal_lpdf<false>(
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19760 |                                      stan::model::rvalue(YXstar, "YXstar",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19761 |                                        stan::model::index_min_max(r1, r2),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19762 |                                        stan::model::index_min_max(1,
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19763 |                                          stan::model::rvalue(Nobs, "Nobs",
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19764 |                                            stan::model::index_uni(mm)))),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19765 |                                      stan::model::rvalue(Mu, "Mu",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
19766 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
19767 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19768 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19769 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19770 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19771 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19772 |                                                "Nobs",
      |                                                ~~~~~~~                  
19773 |                                                stan::model::index_uni(mm)))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19774 |                                      stan::model::rvalue(Sigma, "Sigma",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19775 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
19776 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19777 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19778 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19779 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19780 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19781 |                                                "Nobs",
      |                                                ~~~~~~~                  
19782 |                                                stan::model::index_uni(mm))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19783 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19784 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19785 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19786 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19787 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19788 |                                                "Nobs",
      |                                                ~~~~~~~                  
19789 |                                                stan::model::index_uni(mm))))))));
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<var_value<double>, -1, 1> >(const char*, const char*, const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<var_value<double>, -1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<var_value<double>, -1, 1>]’
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:91:18:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<var_value<double>, -1, 1>, std::allocator<Eigen::Matrix<var_value<double>, -1, 1> > >; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Holder<Eigen::IndexedView<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_any_not_vector_vt<stan::is_stan_scalar, T_y, T_loc>* <anonymous> = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   91 |     check_not_nan(function, "Random variable", y_vec[i]);
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19759:72:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19759 |                     lp_accum__.add(stan::math::multi_normal_lpdf<false>(
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19760 |                                      stan::model::rvalue(YXstar, "YXstar",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19761 |                                        stan::model::index_min_max(r1, r2),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19762 |                                        stan::model::index_min_max(1,
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19763 |                                          stan::model::rvalue(Nobs, "Nobs",
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19764 |                                            stan::model::index_uni(mm)))),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19765 |                                      stan::model::rvalue(Mu, "Mu",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
19766 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
19767 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19768 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19769 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19770 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19771 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19772 |                                                "Nobs",
      |                                                ~~~~~~~                  
19773 |                                                stan::model::index_uni(mm)))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19774 |                                      stan::model::rvalue(Sigma, "Sigma",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19775 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
19776 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19777 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19778 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19779 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19780 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19781 |                                                "Nobs",
      |                                                ~~~~~~~                  
19782 |                                                stan::model::index_uni(mm))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19783 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19784 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19785 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19786 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19787 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19788 |                                                "Nobs",
      |                                                ~~~~~~~                  
19789 |                                                stan::model::index_uni(mm))))))));
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:39:   required from ‘void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >; Matrix2 = stan::math::arena_matrix<Eigen::Matrix<double, -1, 1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0; stan::require_st_arithmetic<Op>* <anonymous> = 0; stan::math::var = stan::math::var_value<double>]’
   67 |   x.adj().array() += z.adj() * y.array();
      |                                ~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:81:48:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   81 |                ret]() mutable { update_adjoints(operand, partial, ret); });
      |                                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:154:28:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<var_value<double>, -1, 1>, std::allocator<Eigen::Matrix<var_value<double>, -1, 1> > >; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Holder<Eigen::IndexedView<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_any_not_vector_vt<stan::is_stan_scalar, T_y, T_loc>* <anonymous> = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
  154 |   return ops_partials.build(logp);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~
stanExports_stanmarg.h:19759:72:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19759 |                     lp_accum__.add(stan::math::multi_normal_lpdf<false>(
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19760 |                                      stan::model::rvalue(YXstar, "YXstar",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19761 |                                        stan::model::index_min_max(r1, r2),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19762 |                                        stan::model::index_min_max(1,
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19763 |                                          stan::model::rvalue(Nobs, "Nobs",
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19764 |                                            stan::model::index_uni(mm)))),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19765 |                                      stan::model::rvalue(Mu, "Mu",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
19766 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
19767 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19768 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19769 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19770 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19771 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19772 |                                                "Nobs",
      |                                                ~~~~~~~                  
19773 |                                                stan::model::index_uni(mm)))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19774 |                                      stan::model::rvalue(Sigma, "Sigma",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19775 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
19776 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19777 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19778 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19779 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19780 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19781 |                                                "Nobs",
      |                                                ~~~~~~~                  
19782 |                                                stan::model::index_uni(mm))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19783 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19784 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19785 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19786 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19787 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19788 |                                                "Nobs",
      |                                                ~~~~~~~                  
19789 |                                                stan::model::index_uni(mm))))))));
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:30:   required from ‘void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >; Matrix2 = stan::math::arena_matrix<Eigen::Matrix<double, -1, 1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0; stan::require_st_arithmetic<Op>* <anonymous> = 0; stan::math::var = stan::math::var_value<double>]’
   67 |   x.adj().array() += z.adj() * y.array();
      |                      ~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:81:48:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   81 |                ret]() mutable { update_adjoints(operand, partial, ret); });
      |                                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:154:28:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<var_value<double>, -1, 1>, std::allocator<Eigen::Matrix<var_value<double>, -1, 1> > >; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Holder<Eigen::IndexedView<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_any_not_vector_vt<stan::is_stan_scalar, T_y, T_loc>* <anonymous> = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
  154 |   return ops_partials.build(logp);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~
stanExports_stanmarg.h:19759:72:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19759 |                     lp_accum__.add(stan::math::multi_normal_lpdf<false>(
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19760 |                                      stan::model::rvalue(YXstar, "YXstar",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19761 |                                        stan::model::index_min_max(r1, r2),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19762 |                                        stan::model::index_min_max(1,
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19763 |                                          stan::model::rvalue(Nobs, "Nobs",
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19764 |                                            stan::model::index_uni(mm)))),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19765 |                                      stan::model::rvalue(Mu, "Mu",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
19766 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
19767 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19768 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19769 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19770 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19771 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19772 |                                                "Nobs",
      |                                                ~~~~~~~                  
19773 |                                                stan::model::index_uni(mm)))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19774 |                                      stan::model::rvalue(Sigma, "Sigma",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19775 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
19776 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19777 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19778 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19779 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19780 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19781 |                                                "Nobs",
      |                                                ~~~~~~~                  
19782 |                                                stan::model::index_uni(mm))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19783 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19784 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19785 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19786 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19787 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19788 |                                                "Nobs",
      |                                                ~~~~~~~                  
19789 |                                                stan::model::index_uni(mm))))))));
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:30:   required from ‘void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, void>; Matrix2 = stan::math::arena_matrix<Eigen::Matrix<double, -1, -1>, void>; stan::require_rev_matrix_t<T>* <anonymous> = 0; stan::require_st_arithmetic<Op>* <anonymous> = 0; stan::math::var = stan::math::var_value<double>]’
   67 |   x.adj().array() += z.adj() * y.array();
      |                      ~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:81:48:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   81 |                ret]() mutable { update_adjoints(operand, partial, ret); });
      |                                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:154:28:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<var_value<double>, -1, 1>, std::allocator<Eigen::Matrix<var_value<double>, -1, 1> > >; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Holder<Eigen::IndexedView<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_any_not_vector_vt<stan::is_stan_scalar, T_y, T_loc>* <anonymous> = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
  154 |   return ops_partials.build(logp);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~
stanExports_stanmarg.h:19759:72:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19759 |                     lp_accum__.add(stan::math::multi_normal_lpdf<false>(
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19760 |                                      stan::model::rvalue(YXstar, "YXstar",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19761 |                                        stan::model::index_min_max(r1, r2),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19762 |                                        stan::model::index_min_max(1,
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19763 |                                          stan::model::rvalue(Nobs, "Nobs",
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19764 |                                            stan::model::index_uni(mm)))),
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19765 |                                      stan::model::rvalue(Mu, "Mu",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
19766 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
19767 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19768 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19769 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19770 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19771 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19772 |                                                "Nobs",
      |                                                ~~~~~~~                  
19773 |                                                stan::model::index_uni(mm)))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19774 |                                      stan::model::rvalue(Sigma, "Sigma",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19775 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
19776 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19777 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19778 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19779 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19780 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19781 |                                                "Nobs",
      |                                                ~~~~~~~                  
19782 |                                                stan::model::index_uni(mm))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19783 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~        
19784 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~    
19785 |                                            "obsidx",
      |                                            ~~~~~~~~~                    
19786 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19787 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~  
19788 |                                                "Nobs",
      |                                                ~~~~~~~                  
19789 |                                                stan::model::index_uni(mm))))))));
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]’
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:61:16:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   61 |   check_not_nan(function, "Random variable", y_val);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]’
   29 |   elementwise_check([](double x) { return std::isfinite(x); }, function, name,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     y, "finite");
      |                     ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:15:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   62 |   check_finite(function, "Location parameter", mu_val);
      |   ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const char*, const char*, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&)::<lambda(double)>; T = Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from ‘void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >]’
   29 |   elementwise_check([](double x) { return x > 0; }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     "positive");
      |                     ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:63:17:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   63 |   check_positive(function, "Scale parameter", sigma_val);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive_finite<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_positive_finite.hpp:24:20:   required from ‘void stan::math::check_positive_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]’
   24 |   elementwise_check([](double x) { return x > 0 && std::isfinite(x); },
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   25 |                     function, name, y, "positive finite");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:69:24:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   69 |   check_positive_finite(function, "Random variable", y_val);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:20027:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20027 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
20028 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive_finite<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >(const char*, const char*, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&)::<lambda(double)>; T = Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_positive_finite.hpp:24:20:   required from ‘void stan::math::check_positive_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >]’
   24 |   elementwise_check([](double x) { return x > 0 && std::isfinite(x); },
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   25 |                     function, name, y, "positive finite");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:70:24:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   70 |   check_positive_finite(function, "Shape parameter", alpha_val);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:20027:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20027 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
20028 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp: In instantiation of ‘static void stan::math::internal::bounded<T_y, T_low, T_high, true>::check(const char*, const char*, const T_y&, const T_low&, const T_high&) [with T_y = Eigen::Array<double, -1, 1>; T_low = int; T_high = int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp:80:75:   required from ‘void stan::math::check_bounded(const char*, const char*, const T_y&, const T_low&, const T_high&) [with T_y = Eigen::Array<double, -1, 1>; T_low = int; T_high = int]’
   80 |   internal::bounded<T_y, T_low, T_high, is_vector_like<T_y>::value>::check(
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   81 |       function, name, y, low, high);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                        
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:71:16:   required from ‘stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = arena_matrix<Eigen::Matrix<var_value<double>, -1, 1> >; T_scale_succ = std::vector<double>; T_scale_fail = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   71 |   check_bounded(function, "Random variable", value_of(y_val), 0, 1);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:20033:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20033 |         lp_accum__.add((stan::math::beta_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
20034 |                           stan::math::multiply(.5,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~   
20035 |                             stan::math::add(static_cast<double>(1),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20036 |                               Theta_r_free)), theta_r_alpha, theta_r_beta) +
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_bounded.hpp:48:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare]
   48 |     for (size_t n = 0; n < stan::math::size(y); n++) {
      |                        ~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const char*, const char*, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(double)>; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from ‘void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]’
   29 |   elementwise_check([](double x) { return x > 0; }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     "positive");
      |                     ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_cholesky_factor.hpp:40:17:   required from ‘void stan::math::check_cholesky_factor(const char*, const char*, const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   40 |   check_positive(function, name, y_ref.diagonal());
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_rng.hpp:58:24:   required from ‘typename stan::StdVectorBuilder<true, Eigen::Matrix<double, -1, 1>, T_loc>::type stan::math::multi_normal_cholesky_rng(const T_loc&, const Eigen::Matrix<double, -1, -1>&, RNG&) [with T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; typename stan::StdVectorBuilder<true, Eigen::Matrix<double, -1, 1>, T_loc>::type = Eigen::Matrix<double, -1, 1>]’
   58 |   check_cholesky_factor(function, "Cholesky factor of covariance matrix", L);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:22979:73:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22979 |                                    stan::math::multi_normal_cholesky_rng(
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
22980 |                                      stan::model::rvalue(Mu, "Mu",
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~       
22981 |                                        stan::model::index_uni(grpidx),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
22982 |                                        stan::model::index_multi(
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~         
22983 |                                          stan::model::rvalue(obsidx,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~     
22984 |                                            "obsidx",
      |                                            ~~~~~~~~~                     
22985 |                                            stan::model::index_min_max(1,
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
22986 |                                              stan::model::rvalue(Nobs,
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~   
22987 |                                                "Nobs",
      |                                                ~~~~~~~                   
22988 |                                                stan::model::index_uni(mm)))))),
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22989 |                                      Sigma_chol, base_rng__),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~             
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form.hpp:58:19:   required from ‘stan::value_type_t<T> stan::math::quad_form(const EigMat&, const ColVec&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; ColVec = Eigen::Matrix<double, -1, 1>; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_eigen_col_vector_t<ColVec>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::value_type_t<T> = double]’
   58 |   return B_ref.dot(A * B_ref);
      |          ~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:6089:36:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6089 |               stan::math::quad_form(
      |               ~~~~~~~~~~~~~~~~~~~~~^
 6090 |                 stan::model::rvalue(Wp, "Wp", stan::model::index_uni(p),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6091 |                   stan::model::index_min_max(1, no),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6092 |                   stan::model::index_min_max(1, no)), resid));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_ldlt_factor.hpp:32:48:   required from ‘void stan::math::check_ldlt_factor(const char*, const char*, LDLT_factor<T>&) [with T = Eigen::Matrix<double, -1, -1>]’
   32 |     auto too_small = A.ldlt().vectorD().tail(1)(0);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:74:20:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<double, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
   74 |   check_ldlt_factor(function, "LDLT_Factor of random variable", ldlt_W);
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23592:46:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23592 |               stan::math::wishart_lpdf<false>(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
23593 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~         
23594 |                   static_cast<double>(
      |                   ~~~~~~~~~~~~~~~~~~~~        
23595 |                     (stan::model::rvalue(N, "N", stan::model::index_uni(mm))
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23596 |                     - 1)),
      |                     ~~~~~~                    
23597 |                   stan::model::rvalue(Sstar, "Sstar",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23598 |                     stan::model::index_uni(mm))),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23599 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~          
23600 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23601 |                   1)),
      |                   ~~~~                        
23602 |                 stan::model::rvalue(Sigma, "Sigma",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23603 |                   stan::model::index_uni(mm))), "assigning variable log_lik",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> > > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from ‘stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0> > >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   47 |   return m.sum();
      |          ~~~~~^~
stanExports_stanmarg.h:6453:24:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T1__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6453 |       ((stan::math::sum(
      |         ~~~~~~~~~~~~~~~^
 6454 |           stan::math::elt_multiply(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~
 6455 |             stan::model::rvalue(Supdate, "Supdate",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6456 |               stan::model::index_min_max(1, Nobs),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6457 |               stan::model::index_min_max(1, Nobs)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6458 |             stan::math::add(S,
      |             ~~~~~~~~~~~~~~~~~~
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23858:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23858 |                       multi_normal_suff(
      |                       ~~~~~~~~~~~~~~~~~^
23859 |                         stan::model::rvalue(YXstar, "YXstar",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23860 |                           stan::model::index_uni(jj),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23861 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
23862 |                             stan::model::rvalue(xdatidx, "xdatidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23863 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23864 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23865 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23866 |                         stan::model::rvalue(zmat, "zmat",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23867 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23868 |                             stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23869 |                               stan::model::index_uni(mm))),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23870 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23871 |                             stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23872 |                               stan::model::index_uni(mm)))),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23873 |                         stan::model::rvalue(Mu, "Mu",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23874 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23875 |                           stan::model::index_multi(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
23876 |                             stan::model::rvalue(xidx, "xidx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23877 |                               stan::model::index_min_max(1,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23878 |                                 stan::model::rvalue(Nx, "Nx",
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23879 |                                   stan::model::index_uni(mm)))))),
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23880 |                         stan::model::rvalue(Sigmainv_patt, "Sigmainv_patt",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23881 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23882 |                             (stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23883 |                                stan::model::index_uni(mm)) + 1)),
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23884 |                           stan::model::index_min_max(1,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23885 |                             (stan::model::rvalue(Nx, "Nx",
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23886 |                                stan::model::index_uni(mm)) + 1))), 1,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23887 |                         pstream__))), "assigning variable log_lik",
      |                         ~~~~~~~~~~      
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:268:34:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Scalar = double]’
  268 |         res = func(res,eval.coeff(index));
      |                        ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49:   required from here
  106 |     return x.cwiseAbs().rowwise().sum().maxCoeff();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:56:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:56:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  514 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  514 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >]’
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  374 |   this->visit(maxVisitor);
      |   ~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  325 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Array<double, -1, 1> > >; Functor = mul_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Array<double, -1, 1> > >; Func = mul_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Array<double, -1, 1> > >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |   call_assignment(derived(), other.derived(), internal::mul_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:32:55:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t) [with T_CPCs = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0; typename stan::value_type<T>::type = double; size_t = long unsigned int]’
   32 |   return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K));
      |                                            ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:45:26:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::corr_matrix_constrain(T&&, Eigen::Index) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double; Eigen::Index = long int]’
   45 |   return read_corr_matrix(corr_constrain(std::forward<T>(x)), k);
      |          ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:151:33:   required from ‘auto stan::math::corr_matrix_constrain(T&&, Eigen::Index, Lp&) [with bool Jacobian = false; T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lp = double; stan::require_convertible_t<typename stan::return_type<T2>::type, Lp>* <anonymous> = 0; Eigen::Index = long int]’
  151 |     return corr_matrix_constrain(std::forward<T>(x), k);
      |            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:972:55:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix<double, -1, -1>; bool Jacobian = false; LP = double; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; stan::require_matrix_t<S>* <anonymous> = 0; T = double; Eigen::Index = long int]’
  972 |     return stan::math::corr_matrix_constrain<Jacobian>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  973 |         this->read<conditional_var_val_t<Ret, vector_t>>((k * (k - 1)) / 2), k,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  974 |         lp);
      |         ~~~                                            
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:1001:72:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector<Eigen::Matrix<double, -1, -1> >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t<U>* <anonymous> = 0; T = double; size_t = long unsigned int]’
 1001 |           this->read_constrain_corr_matrix<value_type_t<Ret>, Jacobian>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1002 |               lp, sizes...));
      |               ~~~~~~~~~~~~~                                             
stanExports_stanmarg.h:20468:22:   required from here
20466 |         in__.template read_constrain_corr_matrix<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20467 |           std::vector<Eigen::Matrix<local_scalar_t__,-1,-1>>,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20468 |           jacobian__>(lp__, Theta_r_mat_1_1dim__, Theta_r_mat_1_3dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:46:   required from ‘stan::math::matrix_d stan::math::multiply_lower_tri_self_transpose(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0; stan::require_not_st_autodiff_scalar<EigMat>* <anonymous> = 0; matrix_d = Eigen::Matrix<double, -1, -1>]’
   35 |     LLt(m, m) = Lt.col(m).head(k).squaredNorm();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:32:43:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t) [with T_CPCs = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0; typename stan::value_type<T>::type = double; size_t = long unsigned int]’
   32 |   return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K));
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:45:26:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::corr_matrix_constrain(T&&, Eigen::Index) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double; Eigen::Index = long int]’
   45 |   return read_corr_matrix(corr_constrain(std::forward<T>(x)), k);
      |          ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:151:33:   required from ‘auto stan::math::corr_matrix_constrain(T&&, Eigen::Index, Lp&) [with bool Jacobian = false; T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lp = double; stan::require_convertible_t<typename stan::return_type<T2>::type, Lp>* <anonymous> = 0; Eigen::Index = long int]’
  151 |     return corr_matrix_constrain(std::forward<T>(x), k);
      |            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:972:55:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix<double, -1, -1>; bool Jacobian = false; LP = double; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; stan::require_matrix_t<S>* <anonymous> = 0; T = double; Eigen::Index = long int]’
  972 |     return stan::math::corr_matrix_constrain<Jacobian>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  973 |         this->read<conditional_var_val_t<Ret, vector_t>>((k * (k - 1)) / 2), k,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  974 |         lp);
      |         ~~~                                            
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:1001:72:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector<Eigen::Matrix<double, -1, -1> >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t<U>* <anonymous> = 0; T = double; size_t = long unsigned int]’
 1001 |           this->read_constrain_corr_matrix<value_type_t<Ret>, Jacobian>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1002 |               lp, sizes...));
      |               ~~~~~~~~~~~~~                                             
stanExports_stanmarg.h:20468:22:   required from here
20466 |         in__.template read_constrain_corr_matrix<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20467 |           std::vector<Eigen::Matrix<local_scalar_t__,-1,-1>>,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20468 |           jacobian__>(lp__, Theta_r_mat_1_1dim__, Theta_r_mat_1_3dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(double)>; T = Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:61:16:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<double, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
   61 |   check_not_nan(function, "Random variable", y_val);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:17636:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17636 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
17637 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >]’
   29 |   elementwise_check([](double x) { return std::isfinite(x); }, function, name,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     y, "finite");
      |                     ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:15:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<double, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
   62 |   check_finite(function, "Location parameter", mu_val);
      |   ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:17636:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17636 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
17637 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive_finite<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_positive_finite.hpp:24:20:   required from ‘void stan::math::check_positive_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]’
   24 |   elementwise_check([](double x) { return x > 0 && std::isfinite(x); },
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   25 |                     function, name, y, "positive finite");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:69:24:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
   69 |   check_positive_finite(function, "Random variable", y_val);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:17707:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17707 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
17708 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:24:   required from ‘void stan::math::internal::quad_form_vari_alloc<Ta, Ra, Ca, Tb, Rb, Cb>::compute(const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = -1]’
   25 |       matrix_d M = 0.5 * (Cd + Cd.transpose());
      |                    ~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:40:5:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   40 |     compute(value_of(A), value_of(B));
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form_sym.hpp:38:19:   required from ‘auto stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; EigMat2 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_any_vt_var<EigMat1, EigMat2>* <anonymous> = 0]’
   38 |   return quad_form(A_ref, B, true);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~
stanExports_stanmarg.h:18754:38:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18754 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
18755 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18756 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1> >(const char*, const char*, const Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&)::<lambda(double)>; T = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit))))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>]’
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:162:16:   required from ‘Eigen::Matrix<stan::math::var_value<double>, EigMat1::RowsAtCompileTime, EigMat2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; EigMat2 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_all_eigen_matrix_base_vt<stan::is_var, EigMat1, EigMat2>* <anonymous> = 0]’
  162 |   check_not_nan(function, "A", A_ref);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5408:41:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare]
  207 |   for (size_t i = 0; i < x.rows(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare]
  208 |     for (size_t j = 0; j < x.cols(); j++) {
      |                        ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >; U = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:6137:44:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6137 |                     stan::math::dot_product(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~^
 6138 |                       stan::model::rvalue(Wp, "Wp",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6139 |                         stan::model::index_uni(p),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6140 |                         stan::model::index_uni(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~
 6141 |                           stan::model::rvalue(bpos, "bpos",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6142 |                             stan::model::index_uni(bb))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6143 |                         stan::model::index_min_max(1, no)), resid)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >; U = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:6137:44:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6137 |                     stan::math::dot_product(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~^
 6138 |                       stan::model::rvalue(Wp, "Wp",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6139 |                         stan::model::index_uni(p),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6140 |                         stan::model::index_uni(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~
 6141 |                           stan::model::rvalue(bpos, "bpos",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6142 |                             stan::model::index_uni(bb))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6143 |                         stan::model::index_min_max(1, no)), resid)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >; U = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:6344:34:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6344 |           stan::math::dot_product(
      |           ~~~~~~~~~~~~~~~~~~~~~~~^
 6345 |             stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)), sol),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  533 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
      |                 ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  133 |       compute();
      |       ~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  533 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  133 |       compute();
      |       ~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = stan::math::Holder<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, std::vector<double, std::allocator<double> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = stan::math::Holder<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, std::vector<double, std::allocator<double> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<stan::math::Holder<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, std::vector<double, std::allocator<double> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = stan::math::Holder<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, std::vector<double, std::allocator<double> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = stan::math::Holder<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, std::vector<double, std::allocator<double> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mean.hpp:25:68:   required from ‘stan::math::mean<std::vector<double> >(std::vector<double>&&)::<lambda(auto:249&&)> [with auto:249 = stan::math::Holder<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, std::vector<double, std::allocator<double> > >]’
   25 |                                        [](auto&& a) { return a.mean(); });
      |                                                              ~~~~~~^~
/usr/include/c++/16/type_traits:2890:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = stan::math::mean<std::vector<double> >(std::vector<double>&&)::<lambda(auto:249&&)>; _Args = {stan::math::Holder<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >, std::vector<double, std::allocator<double> > >&&}]’
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2901:60:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2901 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:171:45:   required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<std::integral_constant<bool, stan::math::conjunction<stan::is_std_vector<typename std::decay<_Tp>::type, void>, stan::is_stan_scalar<typename stan::value_type<T, void>::type> >::value>::value, void>::type>::reduce(T2&&, F&&) [with T2 = std::vector<double>; F = stan::math::mean<std::vector<double> >(std::vector<double>&&)::<lambda(auto:249&&)>; T = std::vector<double>]’
  171 |     return apply_vector_unary<T_map>::reduce(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  172 |         as_column_vector_or_scalar(std::forward<T2>(x)), std::forward<F>(f));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mean.hpp:24:39:   required from ‘stan::return_type_t<T> stan::math::mean(T&&) [with T = std::vector<double>; stan::require_container_t<T1>* <anonymous> = 0; stan::return_type_t<T> = double]’
   24 |   return apply_vector_unary<T>::reduce(std::forward<T>(m),
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
   25 |                                        [](auto&& a) { return a.mean(); });
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23186:54:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23186 |                                      stan::math::mean(
      |                                      ~~~~~~~~~~~~~~~~^
23187 |                                        stan::model::rvalue(YXstar, "YXstar",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23188 |                                          stan::model::index_min_max(r1, r2),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23189 |                                          stan::model::index_uni(jj))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16:   required from ‘auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; Vec2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vector_t<EigVec1, EigVec2>* <anonymous> = 0; stan::require_not_var_t<typename stan::return_type<T1, T2>::type>* <anonymous> = 0]’
   26 |   return v1.dot(v2);
      |          ~~~~~~^~~~
stanExports_stanmarg.h:6137:44:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6137 |                     stan::math::dot_product(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~^
 6138 |                       stan::model::rvalue(Wp, "Wp",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6139 |                         stan::model::index_uni(p),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6140 |                         stan::model::index_uni(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~
 6141 |                           stan::model::rvalue(bpos, "bpos",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6142 |                             stan::model::index_uni(bb))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6143 |                         stan::model::index_min_max(1, no)), resid)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Matrix<double, -1, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16:   required from ‘auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; Vec2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vector_t<EigVec1, EigVec2>* <anonymous> = 0; stan::require_not_var_t<typename stan::return_type<T1, T2>::type>* <anonymous> = 0]’
   26 |   return v1.dot(v2);
      |          ~~~~~~^~~~
stanExports_stanmarg.h:6137:44:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6137 |                     stan::math::dot_product(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~^
 6138 |                       stan::model::rvalue(Wp, "Wp",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6139 |                         stan::model::index_uni(p),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6140 |                         stan::model::index_uni(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~
 6141 |                           stan::model::rvalue(bpos, "bpos",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6142 |                             stan::model::index_uni(bb))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6143 |                         stan::model::index_min_max(1, no)), resid)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 4, 1, false, false>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:91:77:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
   91 |     gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
      |                                                                             ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; int UpLo = 2; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:74:71:   required from ‘int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   74 |       Eigen::Map<Eigen::VectorXd>(&row[0], draws.cols()) = draws.row(i);
      |                                                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1253:46:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1253 |     ret = stan::services::standalone_generate(model_, draws,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
 1254 |             Rcpp::as<unsigned int>(seed), interrupt, logger, *sample_writer_ptr);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:30:75:   required from here
   30 |     .method("standalone_gqs", &rstan::stan_fit<stan_model, stan::rng_t> ::standalone_gqs)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39:   required from here
   28 |     m2_ += (q - m_) * delta.transpose();
      |                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]’
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  317 |     internal::outer_product_selector_run(dst, lhs, rhs, set(), is_row_major<Dst>());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39:   required from here
   28 |     m2_ += (q - m_) * delta.transpose();
      |                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  306 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:56:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  310 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:56:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  314 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:56:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:56:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:32:43:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t) [with T_CPCs = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0; typename stan::value_type<T>::type = double; size_t = long unsigned int]’
   32 |   return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K));
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:45:26:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::corr_matrix_constrain(T&&, Eigen::Index) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double; Eigen::Index = long int]’
   45 |   return read_corr_matrix(corr_constrain(std::forward<T>(x)), k);
      |          ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_constrain.hpp:151:33:   required from ‘auto stan::math::corr_matrix_constrain(T&&, Eigen::Index, Lp&) [with bool Jacobian = false; T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lp = double; stan::require_convertible_t<typename stan::return_type<T2>::type, Lp>* <anonymous> = 0; Eigen::Index = long int]’
  151 |     return corr_matrix_constrain(std::forward<T>(x), k);
      |            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:972:55:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix<double, -1, -1>; bool Jacobian = false; LP = double; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; stan::require_matrix_t<S>* <anonymous> = 0; T = double; Eigen::Index = long int]’
  972 |     return stan::math::corr_matrix_constrain<Jacobian>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  973 |         this->read<conditional_var_val_t<Ret, vector_t>>((k * (k - 1)) / 2), k,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  974 |         lp);
      |         ~~~                                            
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:1001:72:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector<Eigen::Matrix<double, -1, -1> >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t<U>* <anonymous> = 0; T = double; size_t = long unsigned int]’
 1001 |           this->read_constrain_corr_matrix<value_type_t<Ret>, Jacobian>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1002 |               lp, sizes...));
      |               ~~~~~~~~~~~~~                                             
stanExports_stanmarg.h:20468:22:   required from here
20466 |         in__.template read_constrain_corr_matrix<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20467 |           std::vector<Eigen::Matrix<local_scalar_t__,-1,-1>>,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
20468 |           jacobian__>(lp__, Theta_r_mat_1_1dim__, Theta_r_mat_1_3dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = true; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/initialize.hpp:130:58:   required from ‘std::vector<double> stan::services::util::initialize(Model&, const InitContext&, RNG&, double, bool, stan::callbacks::logger&, stan::callbacks::writer&) [with bool Jacobian = true; Model = model_stanmarg_namespace::model_stanmarg; InitContext = stan::io::var_context; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
  130 |       log_prob = model.template log_prob<false, Jacobian>(unconstrained,
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  131 |                                                           disc_vector, &msg);
      |                                                           ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:49:53:   required from ‘int stan::services::diagnose::diagnose(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg]’
   49 |   std::vector<double> cont_vector = util::initialize(
      |                                     ~~~~~~~~~~~~~~~~^
   50 |       model, init, rng, init_radius, false, logger, init_writer);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:481:53:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  481 |     return_code = stan::services::diagnose::diagnose(model,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
  482 |                                                      *init_context_ptr,
      |                                                      ~~~~~~~~~~~~~~~~~~
  483 |                                                      random_seed, id,
      |                                                      ~~~~~~~~~~~~~~~~
  484 |                                                      init_radius,
      |                                                      ~~~~~~~~~~~~
  485 |                                                      epsilon, error,
      |                                                      ~~~~~~~~~~~~~~~
  486 |                                                      interrupt,
      |                                                      ~~~~~~~~~~
  487 |                                                      logger,
      |                                                      ~~~~~~~
  488 |                                                      init_writer,
      |                                                      ~~~~~~~~~~~~
  489 |                                                      sample_writer);
      |                                                      ~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:61:16:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = const Eigen::Matrix<double, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
   61 |   check_not_nan(function, "Random variable", y_val);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6806:39:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> model_stanmarg_namespace::eval_priors(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, const T24__&, const T25__&, std::ostream*) [with T0__ = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T1__ = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T2__ = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T3__ = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T4__ = Eigen::Matrix<double, -1, 1>; T5__ = Eigen::Matrix<double, -1, 1>; T6__ = std::vector<double>; T7__ = std::vector<int>; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = std::vector<double>; T11__ = std::vector<int>; T12__ = std::vector<int>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = std::vector<double>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = Eigen::Matrix<double, -1, 1>; T18__ = std::vector<double>; T19__ = std::vector<int>; T20__ = std::vector<int>; T21__ = std::vector<int>; T22__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T23__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T24__ = int; T25__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_col_vector<Col>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T5__>, stan::is_vt_not_complex<T4__>, stan::is_std_vector<T6, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T6__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T6__, void>::type>::type> >, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_std_vector<T10__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T10__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T10__, void>::type>::type> >, stan::is_std_vector<T11__, void>, std::is_integral<typename std::decay<typename stan::value_type<T11__, void>::type>::type>, stan::is_std_vector<T12__, void>, std::is_integral<typename std::decay<typename stan::value_type<T12__, void>::type>::type>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_std_vector<T14__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T14__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T14__, void>::type>::type> >, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_col_vector<T17__>, stan::is_vt_not_complex<T17__>, stan::is_std_vector<T18__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T18__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T18__, void>::type>::type> >, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, stan::is_std_vector<T20__, void>, std::is_integral<typename std::decay<typename stan::value_type<T20__, void>::type>::type>, stan::is_std_vector<T21__, void>, std::is_integral<typename std::decay<typename stan::value_type<T21__, void>::type>::type>, stan::is_col_vector<T22__>, stan::is_vt_not_complex<T22__>, stan::is_col_vector<T23__>, stan::is_vt_not_complex<T23__>, std::is_integral<typename std::decay<T24__>::type>, std::is_integral<typename std::decay<T25__>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type = double; typename stan::base_type<T4__, void>::type = double; typename stan::base_type<T6__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; typename stan::base_type<T17__, void>::type = double; typename stan::base_type<T18__, void>::type = double; typename stan::base_type<T22__, void>::type = double; typename stan::base_type<T23__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6806 |         stan::math::normal_lpdf<false>(Lambda_y_free, lambda_y_primn,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6807 |           lambda_y_sd));
      |           ~~~~~~~~~~~~                 
stanExports_stanmarg.h:17629:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17629 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17630 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17631 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17632 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17633 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17634 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]’
   29 |   elementwise_check([](double x) { return std::isfinite(x); }, function, name,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     y, "finite");
      |                     ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:15:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = const Eigen::Matrix<double, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
   62 |   check_finite(function, "Location parameter", mu_val);
      |   ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6806:39:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> model_stanmarg_namespace::eval_priors(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, const T24__&, const T25__&, std::ostream*) [with T0__ = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T1__ = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T2__ = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T3__ = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T4__ = Eigen::Matrix<double, -1, 1>; T5__ = Eigen::Matrix<double, -1, 1>; T6__ = std::vector<double>; T7__ = std::vector<int>; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = std::vector<double>; T11__ = std::vector<int>; T12__ = std::vector<int>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = std::vector<double>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = Eigen::Matrix<double, -1, 1>; T18__ = std::vector<double>; T19__ = std::vector<int>; T20__ = std::vector<int>; T21__ = std::vector<int>; T22__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T23__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T24__ = int; T25__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_col_vector<Col>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T5__>, stan::is_vt_not_complex<T4__>, stan::is_std_vector<T6, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T6__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T6__, void>::type>::type> >, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_std_vector<T10__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T10__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T10__, void>::type>::type> >, stan::is_std_vector<T11__, void>, std::is_integral<typename std::decay<typename stan::value_type<T11__, void>::type>::type>, stan::is_std_vector<T12__, void>, std::is_integral<typename std::decay<typename stan::value_type<T12__, void>::type>::type>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_std_vector<T14__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T14__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T14__, void>::type>::type> >, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_col_vector<T17__>, stan::is_vt_not_complex<T17__>, stan::is_std_vector<T18__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T18__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T18__, void>::type>::type> >, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, stan::is_std_vector<T20__, void>, std::is_integral<typename std::decay<typename stan::value_type<T20__, void>::type>::type>, stan::is_std_vector<T21__, void>, std::is_integral<typename std::decay<typename stan::value_type<T21__, void>::type>::type>, stan::is_col_vector<T22__>, stan::is_vt_not_complex<T22__>, stan::is_col_vector<T23__>, stan::is_vt_not_complex<T23__>, std::is_integral<typename std::decay<T24__>::type>, std::is_integral<typename std::decay<T25__>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type = double; typename stan::base_type<T4__, void>::type = double; typename stan::base_type<T6__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; typename stan::base_type<T17__, void>::type = double; typename stan::base_type<T18__, void>::type = double; typename stan::base_type<T22__, void>::type = double; typename stan::base_type<T23__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6806 |         stan::math::normal_lpdf<false>(Lambda_y_free, lambda_y_primn,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6807 |           lambda_y_sd));
      |           ~~~~~~~~~~~~                 
stanExports_stanmarg.h:17629:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17629 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17630 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17631 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17632 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17633 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17634 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]’
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:61:16:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
   61 |   check_not_nan(function, "Random variable", y_val);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:7000:41:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> model_stanmarg_namespace::eval_priors(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, const T24__&, const T25__&, std::ostream*) [with T0__ = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T1__ = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T2__ = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T3__ = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T4__ = Eigen::Matrix<double, -1, 1>; T5__ = Eigen::Matrix<double, -1, 1>; T6__ = std::vector<double>; T7__ = std::vector<int>; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = std::vector<double>; T11__ = std::vector<int>; T12__ = std::vector<int>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = std::vector<double>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = Eigen::Matrix<double, -1, 1>; T18__ = std::vector<double>; T19__ = std::vector<int>; T20__ = std::vector<int>; T21__ = std::vector<int>; T22__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T23__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T24__ = int; T25__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_col_vector<Col>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T5__>, stan::is_vt_not_complex<T4__>, stan::is_std_vector<T6, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T6__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T6__, void>::type>::type> >, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_std_vector<T10__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T10__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T10__, void>::type>::type> >, stan::is_std_vector<T11__, void>, std::is_integral<typename std::decay<typename stan::value_type<T11__, void>::type>::type>, stan::is_std_vector<T12__, void>, std::is_integral<typename std::decay<typename stan::value_type<T12__, void>::type>::type>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_std_vector<T14__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T14__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T14__, void>::type>::type> >, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_col_vector<T17__>, stan::is_vt_not_complex<T17__>, stan::is_std_vector<T18__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T18__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T18__, void>::type>::type> >, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, stan::is_std_vector<T20__, void>, std::is_integral<typename std::decay<typename stan::value_type<T20__, void>::type>::type>, stan::is_std_vector<T21__, void>, std::is_integral<typename std::decay<typename stan::value_type<T21__, void>::type>::type>, stan::is_col_vector<T22__>, stan::is_vt_not_complex<T22__>, stan::is_col_vector<T23__>, stan::is_vt_not_complex<T23__>, std::is_integral<typename std::decay<T24__>::type>, std::is_integral<typename std::decay<T25__>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type = double; typename stan::base_type<T4__, void>::type = double; typename stan::base_type<T6__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; typename stan::base_type<T17__, void>::type = double; typename stan::base_type<T18__, void>::type = double; typename stan::base_type<T22__, void>::type = double; typename stan::base_type<T23__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 7000 |           stan::math::normal_lpdf<false>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 7001 |             stan::model::rvalue(parvec, "parvec",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7002 |               stan::model::index_min_max(1, (npars - 1))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7003 |             static_cast<double>(0),
      |             ~~~~~~~~~~~~~~~~~~~~~~~      
 7004 |             stan::model::rvalue(sd0, "sd0", stan::model::index_uni(i))));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:17629:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17629 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17630 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17631 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17632 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17633 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
17634 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >::Index’ {aka ‘long int’} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:23:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   23 |     matrix_d Cd = B.transpose() * A * B;
      |                   ~~~~~~~~~~~~~~^~~
stanExports_stanmarg.h:6089:36:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6089 |               stan::math::quad_form(
      |               ~~~~~~~~~~~~~~~~~~~~~^
 6090 |                 stan::model::rvalue(Wp, "Wp", stan::model::index_uni(p),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6091 |                   stan::model::index_min_max(1, no),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6092 |                   stan::model::index_min_max(1, no)), resid));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:23:37:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   23 |     matrix_d Cd = B.transpose() * A * B;
      |                   ~~~~~~~~~~~~~~~~~~^~~
stanExports_stanmarg.h:6089:36:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6089 |               stan::math::quad_form(
      |               ~~~~~~~~~~~~~~~~~~~~~^
 6090 |                 stan::model::rvalue(Wp, "Wp", stan::model::index_uni(p),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6091 |                   stan::model::index_min_max(1, no),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6092 |                   stan::model::index_min_max(1, no)), resid));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  178 | class Matrix
      |       ^~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  103 |   mat.noalias() -= V * tmp;
      |                    ~~^~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  178 | class Matrix
      |       ^~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, 3>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from ‘stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   47 |   return m.sum();
      |          ~~~~~^~
stanExports_stanmarg.h:19609:47:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19609 |               lp_accum__.add(-(stan::math::sum(
      |                               ~~~~~~~~~~~~~~~~^
19610 |                                  stan::model::rvalue(log_lik_x, "log_lik_x",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19611 |                                    stan::model::index_min_max(r3, r4)))));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from ‘stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   47 |   return m.sum();
      |          ~~~~~^~
stanExports_stanmarg.h:5292:26:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5292 |           stan::math::sum(
      |           ~~~~~~~~~~~~~~~^
 5293 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5294 |               stan::model::index_min_max(r1, r2), stan::model::index_uni(i)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  533 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  133 |       compute();
      |       ~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  315 |   compute(matrix.derived());
      |   ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; int UpLo = 2; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from ‘stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   47 |   return m.sum();
      |          ~~~~~^~
stanExports_stanmarg.h:4278:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4278 |         q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz));
      |                ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/trace_quad_form.hpp:31:43:   required from ‘stan::return_type_t<T1, T2> stan::math::trace_quad_form(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::return_type_t<T1, T2> = double]’
   31 |   return B_ref.cwiseProduct(A * B_ref).sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_prec_lpdf.hpp:98:36:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_prec_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::return_type_t<T, L, U> = double]’
   98 |       sum_lp_vec += trace_quad_form(Sigma_ref, y_col - mu_col);
      |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23957:62:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23957 |                     stan::math::multi_normal_prec_lpdf<false>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
23958 |                       stan::model::rvalue(YXstar, "YXstar",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
23959 |                         stan::model::index_uni(jj),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~           
23960 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
23961 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
23962 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
23963 |                       stan::model::rvalue(Mu, "Mu",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
23964 |                         stan::model::index_uni(grpidx),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~       
23965 |                         stan::model::index_multi(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~             
23966 |                           stan::model::rvalue(obsidx, "obsidx",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23967 |                             stan::model::index_min_max(1,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
23968 |                               stan::model::rvalue(Nobs, "Nobs",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23969 |                                 stan::model::index_uni(mm)))))),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23970 |                       stan::model::rvalue(Sigmainv_patt, "Sigmainv_patt",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23971 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
23972 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
23973 |                             stan::model::index_uni(mm))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
23974 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
23975 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
23976 |                             stan::model::index_uni(mm))))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |             ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10:   required from ‘Eigen::CommaInitializer<Derived> Eigen::DenseBase<Derived>::operator<<(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  159 |   return CommaInitializer<Derived>(*static_cast<Derived *>(this), other);
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Scal = double; stan::require_t<stan::is_eigen_col_vector<T> >* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
  102 |   result << A.template cast<T_return>(), B;
      |   ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:19:   required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = Eigen::Matrix<double, -1, 1>; Tb = Eigen::Matrix<double, -1, 1>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
   28 |       = append_row(as_array_or_scalar(b), 1.0);
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:128:47:   required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
  128 |     return internal::hypergeometric_3F2_infsum(a_ref, b_ref, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:154:28:   required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
  154 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:80:37:   required from here
   80 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
      |                   ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:56:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:56:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  514 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  359 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = true; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/initialize.hpp:130:58:   required from ‘std::vector<double> stan::services::util::initialize(Model&, const InitContext&, RNG&, double, bool, stan::callbacks::logger&, stan::callbacks::writer&) [with bool Jacobian = true; Model = model_stanmarg_namespace::model_stanmarg; InitContext = stan::io::var_context; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
  130 |       log_prob = model.template log_prob<false, Jacobian>(unconstrained,
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  131 |                                                           disc_vector, &msg);
      |                                                           ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:49:53:   required from ‘int stan::services::diagnose::diagnose(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg]’
   49 |   std::vector<double> cont_vector = util::initialize(
      |                                     ~~~~~~~~~~~~~~~~^
   50 |       model, init, rng, init_radius, false, logger, init_writer);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:481:53:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  481 |     return_code = stan::services::diagnose::diagnose(model,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
  482 |                                                      *init_context_ptr,
      |                                                      ~~~~~~~~~~~~~~~~~~
  483 |                                                      random_seed, id,
      |                                                      ~~~~~~~~~~~~~~~~
  484 |                                                      init_radius,
      |                                                      ~~~~~~~~~~~~
  485 |                                                      epsilon, error,
      |                                                      ~~~~~~~~~~~~~~~
  486 |                                                      interrupt,
      |                                                      ~~~~~~~~~~
  487 |                                                      logger,
      |                                                      ~~~~~~~
  488 |                                                      init_writer,
      |                                                      ~~~~~~~~~~~~
  489 |                                                      sample_writer);
      |                                                      ~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:45:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  192 |                      * CubicInterp(_gk_1.dot(_pk_1), _alphak_1, _fk - _fk_1,
      |                                    ~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  113 |     LhsNested m_lhs;
      |               ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |                                                ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
   20 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  123 |     *this *= Scalar(1)-tau;
      |     ~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from ‘stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   47 |   return m.sum();
      |          ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:81:38:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   81 |   T_partials_return logp = -0.5 * sum(y_scaled_sq);
      |                                   ~~~^~~~~~~~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from ‘stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   47 |   return m.sum();
      |          ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:86:16:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&; T_loc = Eigen::Matrix<var_value<double>, -1, 1>&; T_scale = const std::vector<double>&; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   86 |     logp -= sum(log(sigma_val)) * N / math::size(sigma);
      |             ~~~^~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19956:54:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19956 |         lp_accum__.add(stan::math::normal_lpdf<false>(Tau_ufree, tau_primn,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
19957 |                          tau_sd));
      |                          ~~~~~~~                      
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from ‘stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   47 |   return m.sum();
      |          ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:97:16:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   97 |     logp += sum(alpha_val * log_beta) * N / max_size(alpha, beta);
      |             ~~~^~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:20027:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20027 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
20028 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from ‘stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   47 |   return m.sum();
      |          ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:103:16:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
  103 |     logp += sum((alpha_val - 1.0) * log_y) * N / max_size(alpha, y);
      |             ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:20027:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20027 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
20028 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Array<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Array<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Array<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from ‘stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Array<double, -1, 1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   47 |   return m.sum();
      |          ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:106:16:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
  106 |     logp -= sum(beta_val * y_val) * N / max_size(beta, y);
      |             ~~~^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:20027:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
20027 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
20028 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<-1, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<-1, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<-1, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<-1, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 1; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
  463 |       BlockType A_0 = lu.block(0,0,rows,k);
      |                 ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  133 |       compute();
      |       ~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  495 |         A22.noalias() -= A21 * A12;
      |                          ~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                                         ~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                                               ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                                         ~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16:   required from ‘auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Matrix<double, -1, 1>; Vec2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vector_t<EigVec1, EigVec2>* <anonymous> = 0; stan::require_not_var_t<typename stan::return_type<T1, T2>::type>* <anonymous> = 0]’
   26 |   return v1.dot(v2);
      |          ~~~~~~^~~~
stanExports_stanmarg.h:6361:36:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6361 |             stan::math::dot_product(
      |             ~~~~~~~~~~~~~~~~~~~~~~~^
 6362 |               stan::model::rvalue(g_j, "g_j", stan::model::index_uni(j)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6363 |               stan::math::multiply(
      |               ~~~~~~~~~~~~~~~~~~~~~ 
 6364 |                 stan::model::rvalue(A_j, "A_j", stan::model::index_uni(j)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6365 |                 sol_g)), "assigning variable q_zz_b",
      |                 ~~~~~~~             
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  166 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  372 |     hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1);
      |                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  887 |   typedef typename XprType::PointerType PointerType;
      |                                         ^~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = true; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/initialize.hpp:130:58:   required from ‘std::vector<double> stan::services::util::initialize(Model&, const InitContext&, RNG&, double, bool, stan::callbacks::logger&, stan::callbacks::writer&) [with bool Jacobian = true; Model = model_stanmarg_namespace::model_stanmarg; InitContext = stan::io::var_context; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
  130 |       log_prob = model.template log_prob<false, Jacobian>(unconstrained,
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  131 |                                                           disc_vector, &msg);
      |                                                           ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:49:53:   required from ‘int stan::services::diagnose::diagnose(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg]’
   49 |   std::vector<double> cont_vector = util::initialize(
      |                                     ~~~~~~~~~~~~~~~~^
   50 |       model, init, rng, init_radius, false, logger, init_writer);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:481:53:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  481 |     return_code = stan::services::diagnose::diagnose(model,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
  482 |                                                      *init_context_ptr,
      |                                                      ~~~~~~~~~~~~~~~~~~
  483 |                                                      random_seed, id,
      |                                                      ~~~~~~~~~~~~~~~~
  484 |                                                      init_radius,
      |                                                      ~~~~~~~~~~~~
  485 |                                                      epsilon, error,
      |                                                      ~~~~~~~~~~~~~~~
  486 |                                                      interrupt,
      |                                                      ~~~~~~~~~~
  487 |                                                      logger,
      |                                                      ~~~~~~~
  488 |                                                      init_writer,
      |                                                      ~~~~~~~~~~~~
  489 |                                                      sample_writer);
      |                                                      ~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from ‘stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   47 |   return m.sum();
      |          ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:106:16:   required from ‘stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_shape = std::vector<double>; T_inv_scale = std::vector<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
  106 |     logp -= sum(beta_val * y_val) * N / max_size(beta, y);
      |             ~~~^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:17707:53:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_not_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
17707 |         lp_accum__.add(stan::math::gamma_lpdf<false>(Theta_pri,
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
17708 |                          theta_sd_shape, theta_sd_rate));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:63:50:   required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
   63 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                   &message);
      |                                                   ~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  503 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  505 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  506 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  507 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  469 |     call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func);
      |                                                         ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Matrix<double, -1, -1>; RhsT = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]’
  469 |     call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func);
      |                                                     ~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  103 |   mat.noalias() -= V * tmp;
      |                    ~~^~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from ‘stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::Array<double, -1, 1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   47 |   return m.sum();
      |          ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:81:38:   required from ‘stan::return_type_t<T, L, U> stan::math::normal_lpdf(T_y&&, T_loc&&, T_scale&&) [with bool propto = false; T_y = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_loc = double; T_scale = var_value<double>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   81 |   T_partials_return logp = -0.5 * sum(y_scaled_sq);
      |                                   ~~~^~~~~~~~~~~~~
stanExports_stanmarg.h:7000:41:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> model_stanmarg_namespace::eval_priors(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, const T24__&, const T25__&, std::ostream*) [with T0__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T1__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T2__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T3__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T4__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T5__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T6__ = std::vector<double>; T7__ = std::vector<int>; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = std::vector<double>; T11__ = std::vector<int>; T12__ = std::vector<int>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = std::vector<double>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T18__ = std::vector<double>; T19__ = std::vector<int>; T20__ = std::vector<int>; T21__ = std::vector<int>; T22__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T23__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T24__ = int; T25__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_col_vector<Col>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T5__>, stan::is_vt_not_complex<T4__>, stan::is_std_vector<T6, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T6__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T6__, void>::type>::type> >, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_std_vector<T10__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T10__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T10__, void>::type>::type> >, stan::is_std_vector<T11__, void>, std::is_integral<typename std::decay<typename stan::value_type<T11__, void>::type>::type>, stan::is_std_vector<T12__, void>, std::is_integral<typename std::decay<typename stan::value_type<T12__, void>::type>::type>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_std_vector<T14__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T14__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T14__, void>::type>::type> >, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_col_vector<T17__>, stan::is_vt_not_complex<T17__>, stan::is_std_vector<T18__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T18__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T18__, void>::type>::type> >, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, stan::is_std_vector<T20__, void>, std::is_integral<typename std::decay<typename stan::value_type<T20__, void>::type>::type>, stan::is_std_vector<T21__, void>, std::is_integral<typename std::decay<typename stan::value_type<T21__, void>::type>::type>, stan::is_col_vector<T22__>, stan::is_vt_not_complex<T22__>, stan::is_col_vector<T23__>, stan::is_vt_not_complex<T23__>, std::is_integral<typename std::decay<T24__>::type>, std::is_integral<typename std::decay<T25__>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; typename stan::base_type<Check, void>::type = stan::math::var_value<double>; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T4__, void>::type = stan::math::var_value<double>; typename stan::base_type<T6__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = double; typename stan::base_type<T17__, void>::type = stan::math::var_value<double>; typename stan::base_type<T18__, void>::type = double; typename stan::base_type<T22__, void>::type = double; typename stan::base_type<T23__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 7000 |           stan::math::normal_lpdf<false>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 7001 |             stan::model::rvalue(parvec, "parvec",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7002 |               stan::model::index_min_max(1, (npars - 1))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7003 |             static_cast<double>(0),
      |             ~~~~~~~~~~~~~~~~~~~~~~~      
 7004 |             stan::model::rvalue(sd0, "sd0", stan::model::index_uni(i))));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19949:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19949 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19950 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19951 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19952 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19953 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19954 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 1; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >]’
  377 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  439 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
      |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  400 |         lu.bottomRightCorner(fix<RRows>(rrows),fix<RCols>(rcols)).noalias() -= lu.col(k).tail(fix<RRows>(rrows)) * lu.row(k).tail(fix<RCols>(rcols));
      |                                                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  577 |   dst = m_transpositions * rhs;
      |         ~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:44:20:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; typename stan::value_type<T>::type = double]’
   44 |   return ldlt.solve(
      |          ~~~~~~~~~~^
   45 |       Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic>::Identity(
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   46 |           m.rows(), m.cols()));
      |           ~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21901:36:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21901 |             stan::math::inverse_spd(
      |             ~~~~~~~~~~~~~~~~~~~~~~~^
21902 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  610 |   dst = m_transpositions.transpose() * dst;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:44:20:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; typename stan::value_type<T>::type = double]’
   44 |   return ldlt.solve(
      |          ~~~~~~~~~~^
   45 |       Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic>::Identity(
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   46 |           m.rows(), m.cols()));
      |           ~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21901:36:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21901 |             stan::math::inverse_spd(
      |             ~~~~~~~~~~~~~~~~~~~~~~~^
21902 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>]’
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  374 |   this->visit(maxVisitor);
      |   ~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  501 |       return maxCoeff<PropagateFast>(index);
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  521 |     RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index));
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  328 |       if (k>0) x -= A10.squaredNorm();
      |                     ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  328 |       if (k>0) x -= A10.squaredNorm();
      |                     ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form.hpp:58:19:   required from ‘stan::value_type_t<T> stan::math::quad_form(const EigMat&, const ColVec&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; ColVec = Eigen::Matrix<double, -1, 1>; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_eigen_col_vector_t<ColVec>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::value_type_t<T> = double]’
   58 |   return B_ref.dot(A * B_ref);
      |          ~~~~~~~~~^~~~~~~~~~~
stanExports_stanmarg.h:6089:36:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6089 |               stan::math::quad_form(
      |               ~~~~~~~~~~~~~~~~~~~~~^
 6090 |                 stan::model::rvalue(Wp, "Wp", stan::model::index_uni(p),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6091 |                   stan::model::index_min_max(1, no),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6092 |                   stan::model::index_min_max(1, no)), resid));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
  463 |       BlockType A_0 = lu.block(0,0,rows,k);
      |                 ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  133 |       compute();
      |       ~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  495 |         A22.noalias() -= A21 * A12;
      |                          ~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  234 |       dst = permutationP() * rhs;
      |             ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:37:13:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~~~  
   37 |       .solve(Eigen::Matrix<return_type_t<T1, T2>, T2::RowsAtCompileTime,
      |       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |                            T2::ColsAtCompileTime>(b));
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:56:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:56:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]’
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, 1, -1, 1, 1, -1>; SrcXprType = Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, 1, -1, 1, 1, -1>; SrcXprType = Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, 1, -1, 1, 1, -1>; Src = Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, 1, -1, 1, 1, -1>; SrcXprType = Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, 1, -1, 1, 1, -1>; SrcXprType = Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, 1, -1, 1, 1, -1>; Src = Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Derived = Eigen::Array<double, 1, -1, 1, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Derived = Eigen::Array<double, 1, -1, 1, 1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  288 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false> >; SrcXprType = Eigen::Array<double, 1, -1, 1, 1, -1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false> >; SrcXprType = Eigen::Array<double, 1, -1, 1, 1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, -1, 1, false>; Src = Eigen::Array<double, 1, -1, 1, 1, -1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:52:11:   required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix<double, -1, -1>; T_CPCs = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; T_sds = Eigen::Array<double, -1, 1>&; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_eigen_vector_t<T_CPCs, T_sds>* <anonymous> = 0; stan::require_all_vt_same<T_Sigma, T_CPCs, T_sds>* <anonymous> = 0]’
   52 |   factor_U(U, CPCs);
      |   ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/constraint/corr_matrix_free.hpp:46:38:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   46 |   bool successful = factor_cov_matrix(y, x.array(), sds);
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:506:45:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix<double, -1, -1>; stan::require_not_std_vector_t<Ret>* <anonymous> = 0; T = double]’
  506 |     this->write(stan::math::corr_matrix_free(x));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:518:35:   required from ‘void stan::io::serializer<T>::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >; stan::require_std_vector_t<U>* <anonymous> = 0; T = double]’
  518 |       this->write_free_corr_matrix(ret_i);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_stanmarg.h:25947:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
25947 |       out__.write_free_corr_matrix(Theta_r_mat_1);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:28901:25:   required from here
28901 |     transform_inits_impl(context, vars, pstream__);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |             ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   required from ‘struct Eigen::internal::blas_traits<Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
  506 |     >::type DirectLinearAccessType;
      |             ^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:422:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  422 |   typedef typename RhsBlasTraits::DirectLinearAccessType ActualRhsType;
      |                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from ‘stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   47 |   return m.sum();
      |          ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/broadcast_array.hpp:32:16:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   32 |     prim_ = sum(m);
      |             ~~~^~~
stanExports_stanmarg.h:7000:41:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> model_stanmarg_namespace::eval_priors(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, const T24__&, const T25__&, std::ostream*) [with T0__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T1__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T2__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T3__ = Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; T4__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T5__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T6__ = std::vector<double>; T7__ = std::vector<int>; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = std::vector<double>; T11__ = std::vector<int>; T12__ = std::vector<int>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = std::vector<double>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T18__ = std::vector<double>; T19__ = std::vector<int>; T20__ = std::vector<int>; T21__ = std::vector<int>; T22__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T23__ = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T24__ = int; T25__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_col_vector<Col>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T3__>, stan::is_vt_not_complex<T3__>, stan::is_col_vector<T5__>, stan::is_vt_not_complex<T4__>, stan::is_std_vector<T6, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T6__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T6__, void>::type>::type> >, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_std_vector<T10__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T10__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T10__, void>::type>::type> >, stan::is_std_vector<T11__, void>, std::is_integral<typename std::decay<typename stan::value_type<T11__, void>::type>::type>, stan::is_std_vector<T12__, void>, std::is_integral<typename std::decay<typename stan::value_type<T12__, void>::type>::type>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_std_vector<T14__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T14__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T14__, void>::type>::type> >, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_col_vector<T17__>, stan::is_vt_not_complex<T17__>, stan::is_std_vector<T18__, void>, stan::math::disjunction<stan::is_autodiff_scalar<typename stan::value_type<T18__, void>::type>, std::is_floating_point<typename std::decay<typename stan::value_type<T18__, void>::type>::type> >, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, stan::is_std_vector<T20__, void>, std::is_integral<typename std::decay<typename stan::value_type<T20__, void>::type>::type>, stan::is_std_vector<T21__, void>, std::is_integral<typename std::decay<typename stan::value_type<T21__, void>::type>::type>, stan::is_col_vector<T22__>, stan::is_vt_not_complex<T22__>, stan::is_col_vector<T23__>, stan::is_vt_not_complex<T23__>, std::is_integral<typename std::decay<T24__>::type>, std::is_integral<typename std::decay<T25__>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; typename stan::base_type<Check, void>::type = stan::math::var_value<double>; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T4__, void>::type, typename stan::base_type<T6__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T4__, void>::type = stan::math::var_value<double>; typename stan::base_type<T6__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type, typename stan::base_type<T17__, void>::type, typename stan::base_type<T18__, void>::type, typename stan::base_type<T22__, void>::type, typename stan::base_type<T23__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = double; typename stan::base_type<T17__, void>::type = stan::math::var_value<double>; typename stan::base_type<T18__, void>::type = double; typename stan::base_type<T22__, void>::type = double; typename stan::base_type<T23__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 7000 |           stan::math::normal_lpdf<false>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 7001 |             stan::model::rvalue(parvec, "parvec",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7002 |               stan::model::index_min_max(1, (npars - 1))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 7003 |             static_cast<double>(0),
      |             ~~~~~~~~~~~~~~~~~~~~~~~      
 7004 |             stan::model::rvalue(sd0, "sd0", stan::model::index_uni(i))));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19949:35:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19949 |         lp_accum__.add(eval_priors(Lambda_y_free, B_free, Nu_free,
      |                        ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19950 |                          Alpha_free, sd0, lambda_y_primn, lambda_y_sd,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19951 |                          lambda_y_pri, lambda_y_blk, b_primn, b_sd, b_pri,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19952 |                          b_blk, nu_primn, nu_sd, nu_pri, nu_blk, alpha_primn,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19953 |                          alpha_sd, alpha_pri, alpha_blk, len_free, blkparm1,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19954 |                          blkparm2, priblklen, npriblks, pstream__));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  113 |     LhsNested m_lhs;
      |               ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  113 |     LhsNested m_lhs;
      |               ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 4, 1, false, true>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
  233 |     gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder,false,true> pack_rhs_panel;
      |                                                                                     ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
  377 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  439 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
      |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  400 |         lu.bottomRightCorner(fix<RRows>(rrows),fix<RCols>(rcols)).noalias() -= lu.col(k).tail(fix<RRows>(rrows)) * lu.row(k).tail(fix<RCols>(rcols));
      |                                                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4337:73:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4337 |             stan::math::elt_multiply(Sigma_w_inv, stan::math::tcrossprod(Y_j))),
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4337:73:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4337 |             stan::math::elt_multiply(Sigma_w_inv, stan::math::tcrossprod(Y_j))),
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  577 |   dst = m_transpositions * rhs;
      |         ~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left_ldlt.hpp:37:24:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, EigMat::ColsAtCompileTime> stan::math::mdivide_left_ldlt(LDLT_factor<T>&, const EigMat&) [with T = Eigen::Matrix<double, -1, -1>; EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_any_not_t<std::is_arithmetic<typename stan::value_type<T, void>::type>, stan::is_fvar<typename stan::value_type<S, void>::type, void> >* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   37 |   return A.ldlt().solve(
      |          ~~~~~~~~~~~~~~^
   38 |       Eigen::Matrix<return_type_t<T, EigMat>, EigMat::RowsAtCompileTime,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   39 |                     EigMat::ColsAtCompileTime>(b));
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<double, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23592:46:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23592 |               stan::math::wishart_lpdf<false>(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
23593 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~         
23594 |                   static_cast<double>(
      |                   ~~~~~~~~~~~~~~~~~~~~        
23595 |                     (stan::model::rvalue(N, "N", stan::model::index_uni(mm))
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23596 |                     - 1)),
      |                     ~~~~~~                    
23597 |                   stan::model::rvalue(Sstar, "Sstar",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23598 |                     stan::model::index_uni(mm))),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23599 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~          
23600 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23601 |                   1)),
      |                   ~~~~                        
23602 |                 stan::model::rvalue(Sigma, "Sigma",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23603 |                   stan::model::index_uni(mm))), "assigning variable log_lik",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  577 |   dst = m_transpositions * rhs;
      |         ~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left_ldlt.hpp:37:24:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, EigMat::ColsAtCompileTime> stan::math::mdivide_left_ldlt(LDLT_factor<T>&, const EigMat&) [with T = Eigen::Matrix<double, -1, -1>; EigMat = Eigen::Matrix<double, -1, 1>; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_any_not_t<std::is_arithmetic<typename stan::value_type<T, void>::type>, stan::is_fvar<typename stan::value_type<S, void>::type, void> >* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   37 |   return A.ldlt().solve(
      |          ~~~~~~~~~~~~~~^
   38 |       Eigen::Matrix<return_type_t<T, EigMat>, EigMat::RowsAtCompileTime,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   39 |                     EigMat::ColsAtCompileTime>(b));
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:222:31:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_all_vector_vt<stan::is_stan_scalar, T_y, T_loc>* <anonymous> = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
  222 |       half = mdivide_left_ldlt(ldlt_Sigma, y_val_minus_mu_val);
      |              ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23898:61:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23898 |                         stan::math::multi_normal_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
23899 |                           stan::model::rvalue(YXstar, "YXstar",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23900 |                             stan::model::index_uni(jj),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~      
23901 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23902 |                               stan::model::rvalue(xdatidx, "xdatidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23903 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23904 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23905 |                                     stan::model::index_uni(mm)))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23906 |                           stan::model::rvalue(Mu, "Mu",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
23907 |                             stan::model::index_uni(grpidx),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
23908 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23909 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23910 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23911 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23912 |                                     stan::model::index_uni(mm)))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23913 |                           stan::model::rvalue(Sigma, "Sigma",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23914 |                             stan::model::index_uni(grpidx),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
23915 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23916 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23917 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23918 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23919 |                                     stan::model::index_uni(mm))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23920 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23921 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23922 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23923 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23924 |                                     stan::model::index_uni(mm))))))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left_ldlt.hpp:37:24:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, EigMat::ColsAtCompileTime> stan::math::mdivide_left_ldlt(LDLT_factor<T>&, const EigMat&) [with T = Eigen::Matrix<double, -1, -1>; EigMat = Eigen::Matrix<double, -1, 1>; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_any_not_t<std::is_arithmetic<typename stan::value_type<T, void>::type>, stan::is_fvar<typename stan::value_type<S, void>::type, void> >* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   37 |   return A.ldlt().solve(
      |          ~~~~~~~~~~~~~~^
   38 |       Eigen::Matrix<return_type_t<T, EigMat>, EigMat::RowsAtCompileTime,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   39 |                     EigMat::ColsAtCompileTime>(b));
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:222:31:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_all_vector_vt<stan::is_stan_scalar, T_y, T_loc>* <anonymous> = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
  222 |       half = mdivide_left_ldlt(ldlt_Sigma, y_val_minus_mu_val);
      |              ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23898:61:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23898 |                         stan::math::multi_normal_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
23899 |                           stan::model::rvalue(YXstar, "YXstar",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23900 |                             stan::model::index_uni(jj),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~      
23901 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23902 |                               stan::model::rvalue(xdatidx, "xdatidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23903 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23904 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23905 |                                     stan::model::index_uni(mm)))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23906 |                           stan::model::rvalue(Mu, "Mu",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
23907 |                             stan::model::index_uni(grpidx),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
23908 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23909 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23910 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23911 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23912 |                                     stan::model::index_uni(mm)))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23913 |                           stan::model::rvalue(Sigma, "Sigma",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23914 |                             stan::model::index_uni(grpidx),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
23915 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23916 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23917 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23918 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23919 |                                     stan::model::index_uni(mm))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23920 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23921 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23922 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23923 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23924 |                                     stan::model::index_uni(mm))))))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  610 |   dst = m_transpositions.transpose() * dst;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left_ldlt.hpp:37:24:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, EigMat::ColsAtCompileTime> stan::math::mdivide_left_ldlt(LDLT_factor<T>&, const EigMat&) [with T = Eigen::Matrix<double, -1, -1>; EigMat = Eigen::Matrix<double, -1, 1>; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_any_not_t<std::is_arithmetic<typename stan::value_type<T, void>::type>, stan::is_fvar<typename stan::value_type<S, void>::type, void> >* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   37 |   return A.ldlt().solve(
      |          ~~~~~~~~~~~~~~^
   38 |       Eigen::Matrix<return_type_t<T, EigMat>, EigMat::RowsAtCompileTime,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   39 |                     EigMat::ColsAtCompileTime>(b));
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:222:31:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_all_vector_vt<stan::is_stan_scalar, T_y, T_loc>* <anonymous> = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
  222 |       half = mdivide_left_ldlt(ldlt_Sigma, y_val_minus_mu_val);
      |              ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23898:61:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23898 |                         stan::math::multi_normal_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
23899 |                           stan::model::rvalue(YXstar, "YXstar",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23900 |                             stan::model::index_uni(jj),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~      
23901 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23902 |                               stan::model::rvalue(xdatidx, "xdatidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23903 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23904 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23905 |                                     stan::model::index_uni(mm)))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23906 |                           stan::model::rvalue(Mu, "Mu",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
23907 |                             stan::model::index_uni(grpidx),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
23908 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23909 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23910 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23911 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23912 |                                     stan::model::index_uni(mm)))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23913 |                           stan::model::rvalue(Sigma, "Sigma",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23914 |                             stan::model::index_uni(grpidx),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
23915 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23916 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23917 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23918 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23919 |                                     stan::model::index_uni(mm))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23920 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23921 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23922 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23923 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23924 |                                     stan::model::index_uni(mm))))))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:127:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
  127 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:149:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
  149 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept_check.hpp:31:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_concepts.hpp:106:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_concepts.hpp:106:7:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:149:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
  149 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’
   37 |       ~model()
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:138:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:149:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
  149 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:149:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
  149 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:154:13:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:154:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:280:9:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’
   37 |       ~model()
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:160:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:280:9:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:280:9:   required from ‘struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]’
   37 |       ~model()
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:160:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  160 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:286:9:   required from ‘struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/algorithm/equal.hpp:174:13:   required from ‘bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/iterator_range_core.hpp:647:32:   required from ‘bool boost::operator==(const iterator_range<IteratorT>&, const iterator_range<Iterator2T>&) [with Iterator1T = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >; Iterator2T = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]’
  647 |             return boost::equal( l, r );
      |                    ~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/find_iterator.hpp:359:32:   required from ‘bool boost::algorithm::split_iterator<IteratorT>::equal(const boost::algorithm::split_iterator<IteratorT>&) const [with IteratorT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]’
  359 |                         m_Match==Other.m_Match &&
      |                         ~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:518:24:   required from ‘static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, std::true_type) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; std::true_type = std::true_type]’
  518 |         return f1.equal(f2);
      |                ~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:823:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator==(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >&; Difference1 = long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >&; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_adaptor.hpp:166:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  166 |         return m_iterator == x.base();
      |                ~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   37 |       ~model()
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:286:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  286 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |                          .template triangularView<Eigen::Lower>();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                                            ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |                          .template triangularView<Eigen::Lower>();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  783 |     triangular_product_impl<Rhs::Mode,false,Lhs,Lhs::RowsAtCompileTime==1, typename Rhs::MatrixType, false>::run(dst, lhs, rhs.nestedExpression(), alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |                          .template triangularView<Eigen::Lower>();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:337:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   62 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   63 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
  155 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from ‘void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:57:30:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   57 |     alloc_->llt_.solveInPlace(alloc_->C_);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
stanExports_stanmarg.h:5408:41:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   93 |     essential = tail / (c0 - beta);
      |                 ~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, 3>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  402 |     call_assignment_no_alias(dst, lhs.lazyProduct(rhs), internal::assign_op<typename Dst::Scalar,Scalar>());
      |                                   ~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  416 |     call_assignment_no_alias(dst, lhs.lazyProduct(rhs), internal::sub_assign_op<typename Dst::Scalar,Scalar>());
      |                                   ~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, member_sum<double, double>, 0>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  533 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  133 |       compute();
      |       ~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 2, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 2, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 2, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 2, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 2, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 2, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  203 |     PanelType panel(m_arg,
      |               ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 2, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 2, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Eigen::Index = long int]’
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:251:78:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >; Scalar = double]’
  251 |       PacketScalar packet_res0 = eval.template packet<alignment,PacketScalar>(alignedStart);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  444 |       dst.setZero();
      |       ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, 1, -1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, 1, -1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  511 |   RealScalar threshold_helper =  numext::abs2<RealScalar>(m_colNormsUpdated.maxCoeff() * NumTraits<RealScalar>::epsilon()) / RealScalar(rows);
      |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
  319 |             pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2),
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  320 |                            actualPanelWidth, actual_mc,
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  321 |                            actual_kc, j2);
      |                            ~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 | struct evaluator<Product<Lhs, Rhs, Options> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4272:28:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4272 |         stan::model::assign(Vinv_11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~
 4273 |           stan::math::add(Sigma_zz_inv,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>’
  113 |     LhsNested m_lhs;
      |               ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 | struct evaluator<Product<Lhs, Rhs, Options> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4272:28:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4272 |         stan::model::assign(Vinv_11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~
 4273 |           stan::math::add(Sigma_zz_inv,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4337:73:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4337 |             stan::math::elt_multiply(Sigma_w_inv, stan::math::tcrossprod(Y_j))),
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]’
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  599 |       dst.row(i) /= vecD(i);
      |       ~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  569 |   _solve_impl_transposed<true>(rhs, dst);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left_ldlt.hpp:37:24:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, EigMat::ColsAtCompileTime> stan::math::mdivide_left_ldlt(LDLT_factor<T>&, const EigMat&) [with T = Eigen::Matrix<double, -1, -1>; EigMat = Eigen::Matrix<double, -1, 1>; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_any_not_t<std::is_arithmetic<typename stan::value_type<T, void>::type>, stan::is_fvar<typename stan::value_type<S, void>::type, void> >* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   37 |   return A.ldlt().solve(
      |          ~~~~~~~~~~~~~~^
   38 |       Eigen::Matrix<return_type_t<T, EigMat>, EigMat::RowsAtCompileTime,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   39 |                     EigMat::ColsAtCompileTime>(b));
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:222:31:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_all_vector_vt<stan::is_stan_scalar, T_y, T_loc>* <anonymous> = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
  222 |       half = mdivide_left_ldlt(ldlt_Sigma, y_val_minus_mu_val);
      |              ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23898:61:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23898 |                         stan::math::multi_normal_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
23899 |                           stan::model::rvalue(YXstar, "YXstar",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23900 |                             stan::model::index_uni(jj),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~      
23901 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23902 |                               stan::model::rvalue(xdatidx, "xdatidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23903 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23904 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23905 |                                     stan::model::index_uni(mm)))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23906 |                           stan::model::rvalue(Mu, "Mu",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
23907 |                             stan::model::index_uni(grpidx),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
23908 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23909 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23910 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23911 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23912 |                                     stan::model::index_uni(mm)))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23913 |                           stan::model::rvalue(Sigma, "Sigma",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23914 |                             stan::model::index_uni(grpidx),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
23915 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23916 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23917 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23918 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23919 |                                     stan::model::index_uni(mm))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23920 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23921 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23922 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23923 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23924 |                                     stan::model::index_uni(mm))))))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:127:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
  127 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:149:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
  149 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible<TT>::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]’
   37 |       ~model()
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  167 |     BOOST_CONCEPT_USAGE(CopyConstructible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’
   37 |       ~model()
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:138:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:149:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
  149 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept<Iterator>::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]’
   37 |       ~model()
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:138:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  138 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:149:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
  149 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable<TT>::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]’
   37 |       ~model()
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  233 |     BOOST_CONCEPT_USAGE(EqualityComparable) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’
   37 |       ~model()
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:160:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]’
   37 |       ~model()
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:160:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  160 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:286:9:   required from ‘struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from ‘typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]’
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
/usr/include/c++/16/bits/stl_vector.h:1945:21:   required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]’
 1945 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
/usr/include/c++/16/bits/stl_vector.h:741:23:   required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]’
  741 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  742 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]’
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
      |                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/algorithm/string/split.hpp:158:50:   required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]’
  158 |             return ::boost::algorithm::iter_split(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  159 |                 Result,
      |                 ~~~~~~~                           
  160 |                 Input,
      |                 ~~~~~~                            
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]’
   37 |       ~model()
      |       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/range/concepts.hpp:286:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  286 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  303 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |                          .template triangularView<Eigen::Lower>();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:166:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68:   required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’
   89 |     Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  167 |     tmp.noalias() = right * essential;
      |                     ~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  169 |     this->col(0) -= tau * tmp;
      |                     ~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  303 |             dst.bottomRightCorner(cornerSize, cornerSize)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  304 |                .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  170 |     right.noalias() -= tau * tmp * essential.adjoint();
      |                        ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:56:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:26:22:   required from here
   26 |   g = eigenvectors * eigenprojections;
      |                      ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:26:22:   required from here
   26 |   g = eigenvectors * eigenprojections;
      |                      ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27:   required from ‘auto stan::math::multiply(T1&&, T2&&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; T2 = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
   48 |             arena_B.adj() += arena_A_val.transpose() * res_adj;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:18813:41:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18813 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~^
18814 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18815 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18816 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18817 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
18818 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18819 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   79 |   Scalar c0 = coeff(0);
      |               ~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   79 |   Scalar c0 = coeff(0);
      |               ~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  130 |     tmp += this->row(0);
      |     ~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  114 |     RhsNested m_rhs;
      |               ^~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  113 |     LhsNested m_lhs;
      |               ^~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  577 |   dst = m_transpositions * rhs;
      |         ~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:89:46:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   89 |     lp -= 0.5 * nu_ref * log_determinant_ldlt(ldlt_S);
      |                          ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  610 |   dst = m_transpositions.transpose() * dst;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:89:46:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   89 |     lp -= 0.5 * nu_ref * log_determinant_ldlt(ldlt_S);
      |                          ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  114 |     RhsNested m_rhs;
      |               ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  113 |     LhsNested m_lhs;
      |               ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >]’
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  374 |   this->visit(maxVisitor);
      |   ~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  507 |     m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm();
      |                                    ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |             ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |             ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  346 |           pack_rhs_panel(blockB+j2*actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  347 |                          rhs.getSubMapper(actual_k2+panelOffset, actual_j2),
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  348 |                          panelLength, actualPanelWidth,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  349 |                          actual_kc, panelOffset);
      |                          ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>; int ProductTag = 8; Scalar = double]’
  783 |     triangular_product_impl<Rhs::Mode,false,Lhs,Lhs::RowsAtCompileTime==1, typename Rhs::MatrixType, false>::run(dst, lhs, rhs.nestedExpression(), alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |                          .template triangularView<Eigen::Lower>();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:37:   required from here
   22 |       stan::math::check_pos_definite("check_pos_definite", "inv_metric",
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   23 |                                      inv_metric);
      |                                      ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                          ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6089:36:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6089 |               stan::math::quad_form(
      |               ~~~~~~~~~~~~~~~~~~~~~^
 6090 |                 stan::model::rvalue(Wp, "Wp", stan::model::index_uni(p),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6091 |                   stan::model::index_min_max(1, no),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6092 |                   stan::model::index_min_max(1, no)), resid));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6089:36:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6089 |               stan::math::quad_form(
      |               ~~~~~~~~~~~~~~~~~~~~~^
 6090 |                 stan::model::rvalue(Wp, "Wp", stan::model::index_uni(p),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6091 |                   stan::model::index_min_max(1, no),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6092 |                   stan::model::index_min_max(1, no)), resid));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                                               ~~~~~~~^~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~^~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                                               ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Functor = swap_assign_op<double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Func = swap_assign_op<double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]’
  424 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  483 |         A_0.row(i).swap(A_0.row(piv));
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >]’
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >]’
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 2, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  234 |       dst = permutationP() * rhs;
      |             ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~~~      
   40 |       .solve(Eigen::Matrix<T_return, Eigen::Dynamic, Eigen::Dynamic>(b)
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   41 |                  .transpose())
      |                  ~~~~~~~~~~~~~
   42 |       .transpose();
      |       ~~~~~~~~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   22 |   res_map = matrix;
      |   ~~~~~~~~^~~~~~~~
stanExports_stanmarg.h:21399:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21399 |                   stan::math::to_vector(
      |                   ~~~~~~~~~~~~~~~~~~~~~^
21400 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~~
21401 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21402 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21403 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21404 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
21405 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21406 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]’
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  333 |       if (rs>0) A21 /= x;
      |                 ~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  374 |   this->visit(maxVisitor);
      |   ~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:37:13:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~~~  
   37 |       .solve(Eigen::Matrix<return_type_t<T1, T2>, T2::RowsAtCompileTime,
      |       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |                            T2::ColsAtCompileTime>(b));
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:37:13:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~~~  
   37 |       .solve(Eigen::Matrix<return_type_t<T1, T2>, T2::RowsAtCompileTime,
      |       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |                            T2::ColsAtCompileTime>(b));
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
  125 |             Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
      |                                                           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:37:13:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~~~  
   37 |       .solve(Eigen::Matrix<return_type_t<T1, T2>, T2::RowsAtCompileTime,
      |       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |                            T2::ColsAtCompileTime>(b));
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4337:73:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4337 |             stan::math::elt_multiply(Sigma_w_inv, stan::math::tcrossprod(Y_j))),
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4337:73:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4337 |             stan::math::elt_multiply(Sigma_w_inv, stan::math::tcrossprod(Y_j))),
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4337:73:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4337 |             stan::math::elt_multiply(Sigma_w_inv, stan::math::tcrossprod(Y_j))),
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:91:20:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   91 |     Base::operator=(other);
      |     ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:78:11:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   78 |     *this = other;
      |     ~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:720:9:   required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<typename std::decay<_Tp>::type>::type = Eigen::Matrix<double, -1, -1>]’
  720 |       : val_(x),
      |         ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:26:   required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                           * arena_L_val.transpose();
      |                           ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:91:20:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   91 |     Base::operator=(other);
      |     ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:78:11:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   78 |     *this = other;
      |     ~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:720:9:   required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<typename std::decay<_Tp>::type>::type = Eigen::Matrix<double, -1, -1>]’
  720 |       : val_(x),
      |         ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:26:   required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                           * arena_L_val.transpose();
      |                           ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:91:20:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   91 |     Base::operator=(other);
      |     ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:78:11:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   78 |     *this = other;
      |     ~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:720:9:   required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<typename std::decay<_Tp>::type>::type = Eigen::Matrix<double, -1, -1>]’
  720 |       : val_(x),
      |         ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:26:   required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                           * arena_L_val.transpose();
      |                           ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:91:20:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   91 |     Base::operator=(other);
      |     ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:78:11:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   78 |     *this = other;
      |     ~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:720:9:   required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<typename std::decay<_Tp>::type>::type = Eigen::Matrix<double, -1, -1>]’
  720 |       : val_(x),
      |         ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:26:   required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                           * arena_L_val.transpose();
      |                           ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  303 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |                          .template triangularView<Eigen::Lower>();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  113 |     LhsNested m_lhs;
      |               ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27:   required from ‘auto stan::math::multiply(T1&&, T2&&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; T2 = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
   48 |             arena_B.adj() += arena_A_val.transpose() * res_adj;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:18813:41:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18813 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~^
18814 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18815 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18816 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18817 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
18818 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18819 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27:   required from ‘auto stan::math::multiply(T1&&, T2&&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; T2 = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
   48 |             arena_B.adj() += arena_A_val.transpose() * res_adj;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:18813:41:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18813 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~^
18814 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18815 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18816 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18817 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
18818 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18819 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |             ~~~~~~~~~~~~~^~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   39 |     const LhsMap lhs(_lhs,size,size,OuterStride<>(lhsStride));
      |                  ^~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
   78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’
  526 |   typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested;
      |                                                                            ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   29 | struct evaluator<Product<Lhs, Rhs, Options> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’
  527 |   typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested;
      |                                                                            ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
   29 | struct evaluator<Product<Lhs, Rhs, Options> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  366 |       dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
      |                                             ~~~~~~~^~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
  366 |       dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>; Rhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, 1, -1>; Rhs = Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = false; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |             ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  506 |     >::type DirectLinearAccessType;
      |             ^~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, false>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:268:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  268 |         res = func(res,eval.coeff(index));
      |                        ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/Memory.h:639:76:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const true_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
  639 |          bool MapExternalBuffer = nested_eval<Xpr,NbEvaluations>::Evaluate && Xpr::MaxSizeAtCompileTime==Dynamic
      |                                                                   ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]’
  329 |     internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>]’
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:293:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const true_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
  293 |     func(dst.row(i), lhsEval.coeff(i,Index(0)) * actual_rhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  329 |     internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |             ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op<double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>]’
  424 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  483 |         A_0.row(i).swap(A_0.row(piv));
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:19:27:   required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; require_not_tuple_t<T>* <anonymous> = 0; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   19 |   return std::forward<T>(a);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:19:27:   required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; require_not_tuple_t<T>* <anonymous> = 0; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   19 |   return std::forward<T>(a);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  783 |     triangular_product_impl<Rhs::Mode,false,Lhs,Lhs::RowsAtCompileTime==1, typename Rhs::MatrixType, false>::run(dst, lhs, rhs.nestedExpression(), alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:19:27:   required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; require_not_tuple_t<T>* <anonymous> = 0; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   19 |   return std::forward<T>(a);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 64>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 8, 8, 0, 8, 8>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  150 |     Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
      |                                                                    ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:91:20:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   91 |     Base::operator=(other);
      |     ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:78:11:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   78 |     *this = other;
      |     ~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:720:9:   required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<typename std::decay<_Tp>::type>::type = Eigen::Matrix<double, -1, -1>]’
  720 |       : val_(x),
      |         ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:26:   required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                           * arena_L_val.transpose();
      |                           ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:91:20:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   91 |     Base::operator=(other);
      |     ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:78:11:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   78 |     *this = other;
      |     ~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:720:9:   required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<typename std::decay<_Tp>::type>::type = Eigen::Matrix<double, -1, -1>]’
  720 |       : val_(x),
      |         ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:26:   required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                           * arena_L_val.transpose();
      |                           ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  153 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:91:20:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   91 |     Base::operator=(other);
      |     ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:78:11:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   78 |     *this = other;
      |     ~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:720:9:   required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<typename std::decay<_Tp>::type>::type = Eigen::Matrix<double, -1, -1>]’
  720 |       : val_(x),
      |         ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:26:   required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                           * arena_L_val.transpose();
      |                           ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 8>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  153 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:91:20:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   91 |     Base::operator=(other);
      |     ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:78:11:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   78 |     *this = other;
      |     ~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:720:9:   required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<typename std::decay<_Tp>::type>::type = Eigen::Matrix<double, -1, -1>]’
  720 |       : val_(x),
      |         ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:26:   required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                           * arena_L_val.transpose();
      |                           ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = true; T_ = double; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/initialize.hpp:130:58:   required from ‘std::vector<double> stan::services::util::initialize(Model&, const InitContext&, RNG&, double, bool, stan::callbacks::logger&, stan::callbacks::writer&) [with bool Jacobian = true; Model = model_stanmarg_namespace::model_stanmarg; InitContext = stan::io::var_context; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
  130 |       log_prob = model.template log_prob<false, Jacobian>(unconstrained,
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  131 |                                                           disc_vector, &msg);
      |                                                           ~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:49:53:   required from ‘int stan::services::diagnose::diagnose(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg]’
   49 |   std::vector<double> cont_vector = util::initialize(
      |                                     ~~~~~~~~~~~~~~~~^
   50 |       model, init, rng, init_radius, false, logger, init_writer);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:481:53:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  481 |     return_code = stan::services::diagnose::diagnose(model,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
  482 |                                                      *init_context_ptr,
      |                                                      ~~~~~~~~~~~~~~~~~~
  483 |                                                      random_seed, id,
      |                                                      ~~~~~~~~~~~~~~~~
  484 |                                                      init_radius,
      |                                                      ~~~~~~~~~~~~
  485 |                                                      epsilon, error,
      |                                                      ~~~~~~~~~~~~~~~
  486 |                                                      interrupt,
      |                                                      ~~~~~~~~~~
  487 |                                                      logger,
      |                                                      ~~~~~~~
  488 |                                                      init_writer,
      |                                                      ~~~~~~~~~~~~
  489 |                                                      sample_writer);
      |                                                      ~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  769 |     return m_d.func()(m_d.lhsImpl.coeff(row, col), m_d.rhsImpl.coeff(row, col));
      |                                                    ~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
      |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:41:   required from ‘auto stan::math::multiply(T1&&, T2&&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; T2 = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
   38 |     arena_t<return_t> res = arena_A_val * arena_B_val;
      |                             ~~~~~~~~~~~~^~~~~~~~~~~~~
stanExports_stanmarg.h:18813:41:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18813 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~^
18814 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18815 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18816 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18817 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
18818 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18819 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:41:   required from ‘auto stan::math::multiply(T1&&, T2&&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; T2 = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
   38 |     arena_t<return_t> res = arena_A_val * arena_B_val;
      |                             ~~~~~~~~~~~~^~~~~~~~~~~~~
stanExports_stanmarg.h:18813:41:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18813 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~^
18814 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18815 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18816 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18817 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
18818 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18819 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  506 |     >::type DirectLinearAccessType;
      |             ^~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  130 |     tmp += this->row(0);
      |     ~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |                   ~~~~~~~~~~~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |                                   ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  783 |     triangular_product_impl<Rhs::Mode,false,Lhs,Lhs::RowsAtCompileTime==1, typename Rhs::MatrixType, false>::run(dst, lhs, rhs.nestedExpression(), alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  113 |     LhsNested m_lhs;
      |               ^~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  379 |       dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum();
      |                                    ~~~~~~~^~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]’
  379 |       dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum();
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  206 |     gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  366 |       dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
      |                                             ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]’
  366 |       dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  206 |     gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  506 |     >::type DirectLinearAccessType;
      |             ^~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  506 |     >::type DirectLinearAccessType;
      |             ^~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |             ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   22 |   res_map = matrix;
      |   ~~~~~~~~^~~~~~~~
stanExports_stanmarg.h:21399:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21399 |                   stan::math::to_vector(
      |                   ~~~~~~~~~~~~~~~~~~~~~^
21400 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~~
21401 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21402 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21403 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21404 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
21405 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21406 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
  274 |   evaluator<Rhs> rhsEval(rhs);
      |                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’
  329 |     internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  400 |         lu.bottomRightCorner(fix<RRows>(rrows),fix<RCols>(rcols)).noalias() -= lu.col(k).tail(fix<RRows>(rrows)) * lu.row(k).tail(fix<RCols>(rcols));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  329 |     internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4130:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4130 |       stan::model::assign(Sigma_yz_zi,
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
 4131 |         stan::math::multiply(Sigma_yz, Sigma_zz_inv),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4132 |         "assigning variable Sigma_yz_zi");
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4130:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4130 |       stan::model::assign(Sigma_yz_zi,
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
 4131 |         stan::math::multiply(Sigma_yz, Sigma_zz_inv),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4132 |         "assigning variable Sigma_yz_zi");
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4337:73:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4337 |             stan::math::elt_multiply(Sigma_w_inv, stan::math::tcrossprod(Y_j))),
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]’
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  599 |       dst.row(i) /= vecD(i);
      |       ~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left_ldlt.hpp:37:24:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, EigMat::ColsAtCompileTime> stan::math::mdivide_left_ldlt(LDLT_factor<T>&, const EigMat&) [with T = Eigen::Matrix<double, -1, -1>; EigMat = Eigen::Matrix<double, -1, 1>; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_any_not_t<std::is_arithmetic<typename stan::value_type<T, void>::type>, stan::is_fvar<typename stan::value_type<S, void>::type, void> >* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   37 |   return A.ldlt().solve(
      |          ~~~~~~~~~~~~~~^
   38 |       Eigen::Matrix<return_type_t<T, EigMat>, EigMat::RowsAtCompileTime,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   39 |                     EigMat::ColsAtCompileTime>(b));
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:222:31:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_all_vector_vt<stan::is_stan_scalar, T_y, T_loc>* <anonymous> = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
  222 |       half = mdivide_left_ldlt(ldlt_Sigma, y_val_minus_mu_val);
      |              ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23898:61:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23898 |                         stan::math::multi_normal_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
23899 |                           stan::model::rvalue(YXstar, "YXstar",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23900 |                             stan::model::index_uni(jj),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~      
23901 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23902 |                               stan::model::rvalue(xdatidx, "xdatidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23903 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23904 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23905 |                                     stan::model::index_uni(mm)))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23906 |                           stan::model::rvalue(Mu, "Mu",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
23907 |                             stan::model::index_uni(grpidx),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
23908 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23909 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23910 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23911 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23912 |                                     stan::model::index_uni(mm)))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23913 |                           stan::model::rvalue(Sigma, "Sigma",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23914 |                             stan::model::index_uni(grpidx),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
23915 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23916 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23917 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23918 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23919 |                                     stan::model::index_uni(mm))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23920 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23921 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23922 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23923 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23924 |                                     stan::model::index_uni(mm))))))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:19:27:   required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; require_not_tuple_t<T>* <anonymous> = 0; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   19 |   return std::forward<T>(a);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  303 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:19:27:   required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; require_not_tuple_t<T>* <anonymous> = 0; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   19 |   return std::forward<T>(a);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  668 |     assignCoeff(row, col);
      |     ~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |                          .template triangularView<Eigen::Lower>();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |                          .template triangularView<Eigen::Lower>();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  668 |     assignCoeff(row, col);
      |     ~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:23234:59:   required from here
23234 |                                      stan::math::crossprod(YXsmat),
      |                                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  506 |     >::type DirectLinearAccessType;
      |             ^~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
  341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  192 |     internal::trmv_selector<(Mode & (UnitDiag|ZeroDiag)) | ((Mode & Lower) ? Upper : Lower),
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  193 |                             (int(internal::traits<Rhs>::Flags)&RowMajorBit) ? ColMajor : RowMajor>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |             ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~^~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21341:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21341 |             stan::math::quad_form_sym(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21342 |               stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21343 |               stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:447:26:   required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
  447 |     internal::assign_impl(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  448 |         x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |         name);
      |         ~~~~~             
stanExports_stanmarg.h:5398:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<double, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = double; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
 5398 |       stan::model::assign(out,
      |       ~~~~~~~~~~~~~~~~~~~^~~~~
 5399 |         stan::math::subtract(
      |         ~~~~~~~~~~~~~~~~~~~~~
 5400 |           stan::model::rvalue(Sigmainv, "Sigmainv",
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5401 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5402 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5403 |                 stan::model::index_min_max(1, Nobs))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5404 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5405 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5406 |                 stan::model::index_min_max(1, Nobs)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5409 |         stan::model::index_min_max(1, Nobs),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5410 |         stan::model::index_min_max(1, Nobs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21916:29:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21916 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
21917 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21918 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21919 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21920 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21921 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21922 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21923 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21924 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21925 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21926 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21927 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21928 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:447:26:   required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
  447 |     internal::assign_impl(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  448 |         x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |         name);
      |         ~~~~~             
stanExports_stanmarg.h:5398:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<double, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = double; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
 5398 |       stan::model::assign(out,
      |       ~~~~~~~~~~~~~~~~~~~^~~~~
 5399 |         stan::math::subtract(
      |         ~~~~~~~~~~~~~~~~~~~~~
 5400 |           stan::model::rvalue(Sigmainv, "Sigmainv",
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5401 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5402 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5403 |                 stan::model::index_min_max(1, Nobs))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5404 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5405 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5406 |                 stan::model::index_min_max(1, Nobs)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5409 |         stan::model::index_min_max(1, Nobs),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5410 |         stan::model::index_min_max(1, Nobs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21916:29:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21916 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
21917 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21918 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21919 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21920 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21921 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21922 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21923 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21924 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21925 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21926 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21927 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21928 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::Product<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6254:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6254 |           stan::model::assign(gjv,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~
 6255 |             stan::math::multiply(
      |             ~~~~~~~~~~~~~~~~~~~~~
 6256 |               stan::model::rvalue(Sigma_yz, "Sigma_yz",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6257 |                 stan::model::index_multi(both_local),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6258 |                 stan::model::index_multi(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~
 6259 |                   stan::model::rvalue(zpatt_obsidx, "zpatt_obsidx",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6260 |                     stan::model::index_uni(q),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6261 |                     stan::model::index_min_max(1, noz)))),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6262 |               stan::math::multiply(
      |               ~~~~~~~~~~~~~~~~~~~~~
 6263 |                 stan::model::rvalue(Zp, "Zp", stan::model::index_uni(q),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6264 |                   stan::model::index_min_max(1, noz),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6265 |                   stan::model::index_min_max(1, noz)), zresid)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6266 |             "assigning variable gjv");
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                                               ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::Product<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6254:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6254 |           stan::model::assign(gjv,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~
 6255 |             stan::math::multiply(
      |             ~~~~~~~~~~~~~~~~~~~~~
 6256 |               stan::model::rvalue(Sigma_yz, "Sigma_yz",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6257 |                 stan::model::index_multi(both_local),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6258 |                 stan::model::index_multi(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~
 6259 |                   stan::model::rvalue(zpatt_obsidx, "zpatt_obsidx",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6260 |                     stan::model::index_uni(q),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6261 |                     stan::model::index_min_max(1, noz)))),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6262 |               stan::math::multiply(
      |               ~~~~~~~~~~~~~~~~~~~~~
 6263 |                 stan::model::rvalue(Zp, "Zp", stan::model::index_uni(q),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6264 |                   stan::model::index_min_max(1, noz),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6265 |                   stan::model::index_min_max(1, noz)), zresid)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6266 |             "assigning variable gjv");
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |             ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4130:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4130 |       stan::model::assign(Sigma_yz_zi,
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
 4131 |         stan::math::multiply(Sigma_yz, Sigma_zz_inv),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4132 |         "assigning variable Sigma_yz_zi");
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  151 |     triangularBuffer.setZero();
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:91:20:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   91 |     Base::operator=(other);
      |     ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:78:11:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   78 |     *this = other;
      |     ~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:720:9:   required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<typename std::decay<_Tp>::type>::type = Eigen::Matrix<double, -1, -1>]’
  720 |       : val_(x),
      |         ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:26:   required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                           * arena_L_val.transpose();
      |                           ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  153 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:91:20:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   91 |     Base::operator=(other);
      |     ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:78:11:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   78 |     *this = other;
      |     ~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:720:9:   required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<typename std::decay<_Tp>::type>::type = Eigen::Matrix<double, -1, -1>]’
  720 |       : val_(x),
      |         ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:26:   required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                           * arena_L_val.transpose();
      |                           ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                                            ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:1001:72:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value<double>; Sizes = {int}; stan::require_std_vector_t<U>* <anonymous> = 0; T = stan::math::var_value<double>; size_t = long unsigned int]’
 1001 |           this->read_constrain_corr_matrix<value_type_t<Ret>, Jacobian>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1002 |               lp, sizes...));
      |               ~~~~~~~~~~~~~                                             
stanExports_stanmarg.h:18137:22:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18135 |         in__.template read_constrain_corr_matrix<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18136 |           std::vector<Eigen::Matrix<local_scalar_t__,-1,-1>>,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18137 |           jacobian__>(lp__, Theta_r_mat_1_1dim__, Theta_r_mat_1_3dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  783 |     triangular_product_impl<Rhs::Mode,false,Lhs,Lhs::RowsAtCompileTime==1, typename Rhs::MatrixType, false>::run(dst, lhs, rhs.nestedExpression(), alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:1001:72:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value<double>; Sizes = {int}; stan::require_std_vector_t<U>* <anonymous> = 0; T = stan::math::var_value<double>; size_t = long unsigned int]’
 1001 |           this->read_constrain_corr_matrix<value_type_t<Ret>, Jacobian>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1002 |               lp, sizes...));
      |               ~~~~~~~~~~~~~                                             
stanExports_stanmarg.h:18137:22:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18135 |         in__.template read_constrain_corr_matrix<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18136 |           std::vector<Eigen::Matrix<local_scalar_t__,-1,-1>>,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18137 |           jacobian__>(lp__, Theta_r_mat_1_1dim__, Theta_r_mat_1_3dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:41:   required from ‘auto stan::math::multiply(T1&&, T2&&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; T2 = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
   38 |     arena_t<return_t> res = arena_A_val * arena_B_val;
      |                             ~~~~~~~~~~~~^~~~~~~~~~~~~
stanExports_stanmarg.h:18813:41:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18813 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~^
18814 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18815 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18816 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18817 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
18818 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18819 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:41:   required from ‘auto stan::math::multiply(T1&&, T2&&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; T2 = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
   38 |     arena_t<return_t> res = arena_A_val * arena_B_val;
      |                             ~~~~~~~~~~~~^~~~~~~~~~~~~
stanExports_stanmarg.h:18813:41:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18813 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~^
18814 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18815 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18816 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18817 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
18818 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18819 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6089:36:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6089 |               stan::math::quad_form(
      |               ~~~~~~~~~~~~~~~~~~~~~^
 6090 |                 stan::model::rvalue(Wp, "Wp", stan::model::index_uni(p),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6091 |                   stan::model::index_min_max(1, no),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6092 |                   stan::model::index_min_max(1, no)), resid));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |             ~~~~~~~~~~~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  178 | class Matrix
      |       ^~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  153 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
  366 |       dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Rhs = Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = false; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = div_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Func = div_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Scalar = double]’
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  599 |       dst.row(i) /= vecD(i);
      |       ~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:89:46:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   89 |     lp -= 0.5 * nu_ref * log_determinant_ldlt(ldlt_S);
      |                          ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; stan::require_eigen_t<T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   22 |   res_map = matrix;
      |   ~~~~~~~~^~~~~~~~
stanExports_stanmarg.h:21399:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21399 |                   stan::math::to_vector(
      |                   ~~~~~~~~~~~~~~~~~~~~~^
21400 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~~
21401 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21402 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21403 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21404 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
21405 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21406 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:447:26:   required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
  447 |     internal::assign_impl(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  448 |         x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |         name);
      |         ~~~~~             
stanExports_stanmarg.h:5398:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<double, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = double; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
 5398 |       stan::model::assign(out,
      |       ~~~~~~~~~~~~~~~~~~~^~~~~
 5399 |         stan::math::subtract(
      |         ~~~~~~~~~~~~~~~~~~~~~
 5400 |           stan::model::rvalue(Sigmainv, "Sigmainv",
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5401 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5402 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5403 |                 stan::model::index_min_max(1, Nobs))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5404 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5405 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5406 |                 stan::model::index_min_max(1, Nobs)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5409 |         stan::model::index_min_max(1, Nobs),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5410 |         stan::model::index_min_max(1, Nobs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21916:29:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21916 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
21917 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21918 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21919 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21920 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21921 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21922 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21923 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21924 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21925 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21926 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21927 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21928 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5136:28:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5136 |         stan::model::assign(T2p11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5137 |           stan::math::subtract(Sig11,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5138 |             stan::math::multiply(stan::math::multiply(Sig12, S22inv),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5139 |               stan::math::transpose(Sig12))), "assigning variable T2p11");
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5136:28:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5136 |         stan::model::assign(T2p11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5137 |           stan::math::subtract(Sig11,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5138 |             stan::math::multiply(stan::math::multiply(Sig12, S22inv),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5139 |               stan::math::transpose(Sig12))), "assigning variable T2p11");
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  366 |       dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
      |                                             ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::Product<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6254:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6254 |           stan::model::assign(gjv,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~
 6255 |             stan::math::multiply(
      |             ~~~~~~~~~~~~~~~~~~~~~
 6256 |               stan::model::rvalue(Sigma_yz, "Sigma_yz",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6257 |                 stan::model::index_multi(both_local),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6258 |                 stan::model::index_multi(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~
 6259 |                   stan::model::rvalue(zpatt_obsidx, "zpatt_obsidx",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6260 |                     stan::model::index_uni(q),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6261 |                     stan::model::index_min_max(1, noz)))),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6262 |               stan::math::multiply(
      |               ~~~~~~~~~~~~~~~~~~~~~
 6263 |                 stan::model::rvalue(Zp, "Zp", stan::model::index_uni(q),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6264 |                   stan::model::index_min_max(1, noz),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6265 |                   stan::model::index_min_max(1, noz)), zresid)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6266 |             "assigning variable gjv");
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  366 |       dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::Product<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6254:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6254 |           stan::model::assign(gjv,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~
 6255 |             stan::math::multiply(
      |             ~~~~~~~~~~~~~~~~~~~~~
 6256 |               stan::model::rvalue(Sigma_yz, "Sigma_yz",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6257 |                 stan::model::index_multi(both_local),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6258 |                 stan::model::index_multi(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~
 6259 |                   stan::model::rvalue(zpatt_obsidx, "zpatt_obsidx",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6260 |                     stan::model::index_uni(q),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6261 |                     stan::model::index_min_max(1, noz)))),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6262 |               stan::math::multiply(
      |               ~~~~~~~~~~~~~~~~~~~~~
 6263 |                 stan::model::rvalue(Zp, "Zp", stan::model::index_uni(q),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6264 |                   stan::model::index_min_max(1, noz),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6265 |                   stan::model::index_min_max(1, noz)), zresid)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6266 |             "assigning variable gjv");
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  177 |     return coeff(Direction==Vertical ? j : i);
      |            ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:37:13:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~~~  
   37 |       .solve(Eigen::Matrix<return_type_t<T1, T2>, T2::RowsAtCompileTime,
      |       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |                            T2::ColsAtCompileTime>(b));
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/trace_quad_form.hpp:31:43:   required from ‘stan::return_type_t<T1, T2> stan::math::trace_quad_form(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::return_type_t<T1, T2> = double]’
   31 |   return B_ref.cwiseProduct(A * B_ref).sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_prec_lpdf.hpp:98:36:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_prec_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::return_type_t<T, L, U> = double]’
   98 |       sum_lp_vec += trace_quad_form(Sigma_ref, y_col - mu_col);
      |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23957:62:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23957 |                     stan::math::multi_normal_prec_lpdf<false>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
23958 |                       stan::model::rvalue(YXstar, "YXstar",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
23959 |                         stan::model::index_uni(jj),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~           
23960 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
23961 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
23962 |                             stan::model::index_uni(mm)))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
23963 |                       stan::model::rvalue(Mu, "Mu",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
23964 |                         stan::model::index_uni(grpidx),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~       
23965 |                         stan::model::index_multi(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~             
23966 |                           stan::model::rvalue(obsidx, "obsidx",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23967 |                             stan::model::index_min_max(1,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
23968 |                               stan::model::rvalue(Nobs, "Nobs",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23969 |                                 stan::model::index_uni(mm)))))),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23970 |                       stan::model::rvalue(Sigmainv_patt, "Sigmainv_patt",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23971 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
23972 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
23973 |                             stan::model::index_uni(mm))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
23974 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
23975 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
23976 |                             stan::model::index_uni(mm))))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  301 |     triangularBuffer.setZero();
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:19:27:   required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; require_not_tuple_t<T>* <anonymous> = 0; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   19 |   return std::forward<T>(a);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27:   required from ‘auto stan::math::multiply(T1&&, T2&&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; T2 = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
   48 |             arena_B.adj() += arena_A_val.transpose() * res_adj;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:18813:41:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18813 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~^
18814 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18815 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18816 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18817 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
18818 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18819 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
   78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
   71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  305 |   struct sub  { template<typename Dst, typename Src> EIGEN_DEVICE_FUNC void operator()(const Dst& dst, const Src& src) const { dst.const_cast_derived() -= src; } };
      |                                                                                                                                ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10:   required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  542 |   return LLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47:   required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   24 |   Eigen::LLT<Eigen::MatrixXd> llt_of_S = S.llt();
      |                                          ~~~~~^~
stanExports_stanmarg.h:22899:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
22899 |               stan::math::wishart_rng(
      |               ~~~~~~~~~~~~~~~~~~~~~~~^
22900 |                 static_cast<double>(
      |                 ~~~~~~~~~~~~~~~~~~~~  
22901 |                   (stan::model::rvalue(N, "N", stan::model::index_uni(g)) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22902 |                   1)),
      |                   ~~~~                
22903 |                 stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
22904 |                 base_rng__), "assigning variable Sigma_rep_sat",
      |                 ~~~~~~~~~~~           
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                                               ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, index_multi>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, index_multi> >, 0> >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5147:30:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5147 |           stan::model::assign(ymis,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~
 5148 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~~  
 5149 |               stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5150 |                 stan::model::index_multi(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~
 5151 |                   stan::model::rvalue(obsidx, "obsidx",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5152 |                     stan::model::index_min_max(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5153 |                       (stan::model::rvalue(Nobs, "Nobs",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5154 |                          stan::model::index_uni(mm)) + 1), p)))),
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5155 |               stan::math::multiply(stan::math::multiply(Sig12, S22inv),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5156 |                 stan::math::subtract(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5157 |                   stan::model::rvalue(YXstar, "YXstar",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5158 |                     stan::model::index_uni(jj),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5159 |                     stan::model::index_min_max(1,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5160 |                       stan::model::rvalue(Nobs, "Nobs",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5161 |                         stan::model::index_uni(mm)))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5162 |                   stan::model::rvalue(Mu, "Mu",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5163 |                     stan::model::index_uni(grpidx),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5164 |                     stan::model::index_multi(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~
 5165 |                       stan::model::rvalue(obsidx, "obsidx",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5166 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5167 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5168 |                             stan::model::index_uni(mm))))))))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5169 |             "assigning variable ymis");
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  113 |     LhsNested m_lhs;
      |               ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >]’
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false>; U = Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::Product<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6254:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6254 |           stan::model::assign(gjv,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~
 6255 |             stan::math::multiply(
      |             ~~~~~~~~~~~~~~~~~~~~~
 6256 |               stan::model::rvalue(Sigma_yz, "Sigma_yz",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6257 |                 stan::model::index_multi(both_local),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6258 |                 stan::model::index_multi(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~
 6259 |                   stan::model::rvalue(zpatt_obsidx, "zpatt_obsidx",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6260 |                     stan::model::index_uni(q),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6261 |                     stan::model::index_min_max(1, noz)))),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6262 |               stan::math::multiply(
      |               ~~~~~~~~~~~~~~~~~~~~~
 6263 |                 stan::model::rvalue(Zp, "Zp", stan::model::index_uni(q),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6264 |                   stan::model::index_min_max(1, noz),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6265 |                   stan::model::index_min_max(1, noz)), zresid)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6266 |             "assigning variable gjv");
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false>; U = Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::Product<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6254:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6254 |           stan::model::assign(gjv,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~
 6255 |             stan::math::multiply(
      |             ~~~~~~~~~~~~~~~~~~~~~
 6256 |               stan::model::rvalue(Sigma_yz, "Sigma_yz",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6257 |                 stan::model::index_multi(both_local),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6258 |                 stan::model::index_multi(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~
 6259 |                   stan::model::rvalue(zpatt_obsidx, "zpatt_obsidx",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6260 |                     stan::model::index_uni(q),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6261 |                     stan::model::index_min_max(1, noz)))),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6262 |               stan::math::multiply(
      |               ~~~~~~~~~~~~~~~~~~~~~
 6263 |                 stan::model::rvalue(Zp, "Zp", stan::model::index_uni(q),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6264 |                   stan::model::index_min_max(1, noz),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6265 |                   stan::model::index_min_max(1, noz)), zresid)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6266 |             "assigning variable gjv");
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:37:13:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~~~  
   37 |       .solve(Eigen::Matrix<return_type_t<T1, T2>, T2::RowsAtCompileTime,
      |       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |                            T2::ColsAtCompileTime>(b));
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:37:13:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~~~  
   37 |       .solve(Eigen::Matrix<return_type_t<T1, T2>, T2::RowsAtCompileTime,
      |       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |                            T2::ColsAtCompileTime>(b));
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4130:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4130 |       stan::model::assign(Sigma_yz_zi,
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
 4131 |         stan::math::multiply(Sigma_yz, Sigma_zz_inv),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4132 |         "assigning variable Sigma_yz_zi");
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4130:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4130 |       stan::model::assign(Sigma_yz_zi,
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
 4131 |         stan::math::multiply(Sigma_yz, Sigma_zz_inv),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4132 |         "assigning variable Sigma_yz_zi");
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:91:20:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   91 |     Base::operator=(other);
      |     ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:78:11:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   78 |     *this = other;
      |     ~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:720:9:   required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<typename std::decay<_Tp>::type>::type = Eigen::Matrix<double, -1, -1>]’
  720 |       : val_(x),
      |         ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:26:   required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                           * arena_L_val.transpose();
      |                           ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:91:20:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   91 |     Base::operator=(other);
      |     ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:78:11:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   78 |     *this = other;
      |     ~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:720:9:   required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<typename std::decay<_Tp>::type>::type = Eigen::Matrix<double, -1, -1>]’
  720 |       : val_(x),
      |         ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:26:   required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                           * arena_L_val.transpose();
      |                           ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:91:20:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   91 |     Base::operator=(other);
      |     ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:78:11:   required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
   78 |     *this = other;
      |     ~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:720:9:   required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<typename std::decay<typename std::decay<_Tp>::type>::type, void>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<typename std::decay<_Tp>::type>::type = Eigen::Matrix<double, -1, -1>]’
  720 |       : val_(x),
      |         ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:26:   required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   28 |                           * arena_L_val.transpose();
      |                           ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/constraint/cov_matrix_constrain.hpp:60:43:   required from here
   60 |   return multiply_lower_tri_self_transpose(L);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:33:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_stanmarg_namespace::model_stanmarg, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
  239 |       Scalar B0fact = _qn.update(yk, sk, true);
      |                       ~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:138:22:   required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’
  138 |       ret = bfgs.step();
      |             ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |                                          random_seed, id, init_radius,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |                                          init_alpha,
      |                                          ~~~~~~~~~~~
  520 |                                          tol_obj,
      |                                          ~~~~~~~~
  521 |                                          tol_rel_obj,
      |                                          ~~~~~~~~~~~~
  522 |                                          tol_grad,
      |                                          ~~~~~~~~~
  523 |                                          tol_rel_grad,
      |                                          ~~~~~~~~~~~~~
  524 |                                          tol_param,
      |                                          ~~~~~~~~~~
  525 |                                          num_iterations,
      |                                          ~~~~~~~~~~~~~~~
  526 |                                          save_iterations,
      |                                          ~~~~~~~~~~~~~~~~
  527 |                                          refresh,
      |                                          ~~~~~~~~
  528 |                                          interrupt, logger,
      |                                          ~~~~~~~~~~~~~~~~~~
  529 |                                          init_writer, sample_writer);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1216 |                   fnames_oi_, base_rng);
      |                   ~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:15:73:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, stan::rng_t> ::call_sampler)
      |                                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:41:   required from ‘auto stan::math::multiply(T1&&, T2&&) [with T1 = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&; T2 = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
   38 |     arena_t<return_t> res = arena_A_val * arena_B_val;
      |                             ~~~~~~~~~~~~^~~~~~~~~~~~~
stanExports_stanmarg.h:18813:41:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18813 |                     stan::math::multiply(
      |                     ~~~~~~~~~~~~~~~~~~~~^
18814 |                       stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18815 |                         stan::model::index_uni(g)),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
18816 |                       stan::model::rvalue(Alpha, "Alpha",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18817 |                         stan::model::index_uni(g),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~
18818 |                         stan::model::index_min_max(1, m),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18819 |                         stan::model::index_uni(1))))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  151 |     triangularBuffer.setZero();
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |         ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  577 |   dst = m_transpositions * rhs;
      |         ~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
stanExports_stanmarg.h:6459:35:   required from ‘stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>; T1__ = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; T2__ = stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T3__ = Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, -1, -1, false>; T4__ = int; stan::require_all_t<stan::is_col_vector<T>, stan::is_vt_not_complex<T0__>, stan::is_eigen_matrix_dynamic<Mat2>, stan::is_vt_not_complex<T1__>, stan::is_col_vector<T2__>, stan::is_vt_not_complex<T2__>, stan::is_eigen_matrix_dynamic<T3__>, stan::is_vt_not_complex<T3__>, std::is_integral<typename std::decay<T4>::type> >* <anonymous> = 0; stan::return_type_t<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type> = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6459 |               stan::math::multiply(stan::math::subtract(xbar, Mu),
      |               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6460 |                 stan::math::transpose(stan::math::subtract(xbar, Mu))))))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19827:51:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19827 |                   lp_accum__.add(multi_normal_suff(
      |                                  ~~~~~~~~~~~~~~~~~^
19828 |                                    stan::model::rvalue(YXbarstar,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19829 |                                      "YXbarstar", stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19830 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19831 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19832 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19833 |                                    stan::model::rvalue(Sstar, "Sstar",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19834 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19835 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19836 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19837 |                                          stan::model::index_uni(mm))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19838 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19839 |                                        stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19840 |                                          stan::model::index_uni(mm)))),
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19841 |                                    stan::model::rvalue(Mu, "Mu",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19842 |                                      stan::model::index_uni(grpidx),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19843 |                                      stan::model::index_multi(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~
19844 |                                        stan::model::rvalue(obsidx, "obsidx",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19845 |                                          stan::model::index_min_max(1,
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19846 |                                            stan::model::rvalue(Nobs, "Nobs",
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19847 |                                              stan::model::index_uni(mm)))))),
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19848 |                                    stan::model::rvalue(Sigmainv, "Sigmainv",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19849 |                                      stan::model::index_uni(mm),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19850 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19851 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19852 |                                           stan::model::index_uni(mm)) + 1)),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19853 |                                      stan::model::index_min_max(1,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19854 |                                        (stan::model::rvalue(Nobs, "Nobs",
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19855 |                                           stan::model::index_uni(mm)) + 1))),
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19856 |                                    ((r2 - r1) + 1), pstream__));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from ‘const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31:   required from ‘stan::value_type_t<T> stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
   27 |   return m.colPivHouseholderQr().logAbsDeterminant();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21906:40:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21906 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
21907 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:447:26:   required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
  447 |     internal::assign_impl(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  448 |         x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |         name);
      |         ~~~~~             
stanExports_stanmarg.h:5398:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<double, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = double; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
 5398 |       stan::model::assign(out,
      |       ~~~~~~~~~~~~~~~~~~~^~~~~
 5399 |         stan::math::subtract(
      |         ~~~~~~~~~~~~~~~~~~~~~
 5400 |           stan::model::rvalue(Sigmainv, "Sigmainv",
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5401 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5402 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5403 |                 stan::model::index_min_max(1, Nobs))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5404 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5405 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5406 |                 stan::model::index_min_max(1, Nobs)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5409 |         stan::model::index_min_max(1, Nobs),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5410 |         stan::model::index_min_max(1, Nobs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21916:29:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21916 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
21917 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21918 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21919 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21920 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21921 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21922 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21923 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21924 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21925 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21926 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21927 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21928 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:447:26:   required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
  447 |     internal::assign_impl(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  448 |         x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |         name);
      |         ~~~~~             
stanExports_stanmarg.h:5398:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<double, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = double; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
 5398 |       stan::model::assign(out,
      |       ~~~~~~~~~~~~~~~~~~~^~~~~
 5399 |         stan::math::subtract(
      |         ~~~~~~~~~~~~~~~~~~~~~
 5400 |           stan::model::rvalue(Sigmainv, "Sigmainv",
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5401 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5402 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5403 |                 stan::model::index_min_max(1, Nobs))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5404 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5405 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5406 |                 stan::model::index_min_max(1, Nobs)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5409 |         stan::model::index_min_max(1, Nobs),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5410 |         stan::model::index_min_max(1, Nobs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21916:29:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21916 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
21917 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21918 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21919 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21920 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21921 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21922 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21923 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21924 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21925 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21926 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21927 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21928 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  177 |     return coeff(Direction==Vertical ? j : i);
      |            ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:19:27:   required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; require_not_tuple_t<T>* <anonymous> = 0; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   19 |   return std::forward<T>(a);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:19:27:   required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; require_not_tuple_t<T>* <anonymous> = 0; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   19 |   return std::forward<T>(a);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:644:39:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::ColPivHouseholderQR<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::ColPivHouseholderQR<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::ColPivHouseholderQR<MatrixType>::Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> > >; typename DstXprType::Scalar = double; typename Eigen::ColPivHouseholderQR<MatrixType>::Scalar = double]’
  644 |     dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols()));
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/log_determinant.hpp:24:40:   required from ‘stan::math::var stan::math::log_determinant(const T&) [with T = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_rev_matrix_t<T>* <anonymous> = 0; var = var_value<double>]’
   24 |   auto arena_m_inv_transpose = to_arena(m_hh.inverse().transpose());
      |                                ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19319:40:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19319 |             stan::math::log_determinant(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19320 |               stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4164:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T10__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = stan::math::var_value<double>; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T10__, void>::type = stan::math::var_value<double>; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 4164 |         stan::math::crossprod(
      |         ~~~~~~~~~~~~~~~~~~~~~^
 4165 |           stan::math::transpose(
      |           ~~~~~~~~~~~~~~~~~~~~~~
 4166 |             stan::math::to_matrix(
      |             ~~~~~~~~~~~~~~~~~~~~~~
 4167 |               stan::math::subtract(
      |               ~~~~~~~~~~~~~~~~~~~~~
 4168 |                 stan::model::rvalue(mean_d, "mean_d",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4169 |                   stan::model::index_uni(clz)), Mu_full)))),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19566:46:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19566 |               lp_accum__.add(twolevel_logdens(
      |                              ~~~~~~~~~~~~~~~~^
19567 |                                stan::model::rvalue(mean_d, "mean_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19568 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19569 |                                stan::model::rvalue(cov_d, "cov_d",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19570 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19571 |                                stan::model::rvalue(S_PW, "S_PW",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19572 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19573 |                                stan::model::rvalue(YX, "YX",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19574 |                                  stan::model::index_min_max(rr1, rr2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19575 |                                stan::model::rvalue(nclus, "nclus",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19576 |                                  stan::model::index_uni(grpidx),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19577 |                                  stan::model::index_omni()),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19578 |                                stan::model::rvalue(cluster_size,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19579 |                                  "cluster_size",
      |                                  ~~~~~~~~~~~~~~~
19580 |                                  stan::model::index_min_max(r1, r2)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19581 |                                stan::model::rvalue(cluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19582 |                                  "cluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~
19583 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19584 |                                stan::model::rvalue(ncluster_sizes,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19585 |                                  "ncluster_sizes",
      |                                  ~~~~~~~~~~~~~~~~~
19586 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19587 |                                stan::model::rvalue(cluster_size_ns,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19588 |                                  "cluster_size_ns",
      |                                  ~~~~~~~~~~~~~~~~~~
19589 |                                  stan::model::index_min_max(r3, r4)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19590 |                                stan::model::rvalue(Mu, "Mu",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19591 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19592 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19593 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19594 |                                stan::model::rvalue(Mu_c, "Mu_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19595 |                                  stan::model::index_uni(grpidx)),
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19596 |                                stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19597 |                                  stan::model::index_uni(grpidx)), ov_idx1,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19598 |                                ov_idx2, within_idx, between_idx, both_idx,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19599 |                                p_tilde, N_within, N_between, N_both,
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19600 |                                pstream__));
      |                                ~~~~~~~~~~     
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:93:40:   required from ‘stan::return_type_t<T, L, U> stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; T_dof = double; T_scale = Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>; stan::require_stan_scalar_t<T2>* <anonymous> = 0; stan::require_all_matrix_t<T_y, T_scale>* <anonymous> = 0; stan::return_type_t<T, L, U> = var_value<double>]’
   93 |     lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref));
      |                       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:19622:61:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19622 |               lp_accum__.add(stan::math::wishart_lpdf<false>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
19623 |                                stan::math::multiply(
      |                                ~~~~~~~~~~~~~~~~~~~~~         
19624 |                                  static_cast<double>(
      |                                  ~~~~~~~~~~~~~~~~~~~~        
19625 |                                    (stan::model::rvalue(N, "N",
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19626 |                                       stan::model::index_uni(g)) - 1)),
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19627 |                                  stan::model::rvalue(Sstar, "Sstar",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19628 |                                    stan::model::index_uni(g))),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19629 |                                static_cast<double>(
      |                                ~~~~~~~~~~~~~~~~~~~~          
19630 |                                  (stan::model::rvalue(N, "N",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19631 |                                     stan::model::index_uni(g)) - 1)),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19632 |                                stan::model::rvalue(Sigma, "Sigma",
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19633 |                                  stan::model::index_uni(g))));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  305 |   struct sub  { template<typename Dst, typename Src> EIGEN_DEVICE_FUNC void operator()(const Dst& dst, const Src& src) const { dst.const_cast_derived() -= src; } };
      |                                                                                                                                ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10:   required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::lu() const [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  619 |   return PartialPivLU<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5136:28:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5136 |         stan::model::assign(T2p11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5137 |           stan::math::subtract(Sig11,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5138 |             stan::math::multiply(stan::math::multiply(Sig12, S22inv),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5139 |               stan::math::transpose(Sig12))), "assigning variable T2p11");
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5136:28:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5136 |         stan::model::assign(T2p11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5137 |           stan::math::subtract(Sig11,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5138 |             stan::math::multiply(stan::math::multiply(Sig12, S22inv),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5139 |               stan::math::transpose(Sig12))), "assigning variable T2p11");
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, index_multi>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, index_multi> >, 0> >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5147:30:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5147 |           stan::model::assign(ymis,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~
 5148 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~~  
 5149 |               stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5150 |                 stan::model::index_multi(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~
 5151 |                   stan::model::rvalue(obsidx, "obsidx",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5152 |                     stan::model::index_min_max(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5153 |                       (stan::model::rvalue(Nobs, "Nobs",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5154 |                          stan::model::index_uni(mm)) + 1), p)))),
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5155 |               stan::math::multiply(stan::math::multiply(Sig12, S22inv),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5156 |                 stan::math::subtract(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5157 |                   stan::model::rvalue(YXstar, "YXstar",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5158 |                     stan::model::index_uni(jj),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5159 |                     stan::model::index_min_max(1,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5160 |                       stan::model::rvalue(Nobs, "Nobs",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5161 |                         stan::model::index_uni(mm)))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5162 |                   stan::model::rvalue(Mu, "Mu",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5163 |                     stan::model::index_uni(grpidx),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5164 |                     stan::model::index_multi(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~
 5165 |                       stan::model::rvalue(obsidx, "obsidx",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5166 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5167 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5168 |                             stan::model::index_uni(mm))))))))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5169 |             "assigning variable ymis");
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  668 |     assignCoeff(row, col);
      |     ~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; stan::require_eigen_t<T>* <anonymous> = 0]’
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
stanExports_stanmarg.h:5200:32:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5200 |           stan::math::crossprod(
      |           ~~~~~~~~~~~~~~~~~~~~~^
 5201 |             stan::model::rvalue(YXfull, "YXfull",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5202 |               stan::model::index_min_max(r1, r2), stan::model::index_omni())),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::Product<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6254:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6254 |           stan::model::assign(gjv,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~
 6255 |             stan::math::multiply(
      |             ~~~~~~~~~~~~~~~~~~~~~
 6256 |               stan::model::rvalue(Sigma_yz, "Sigma_yz",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6257 |                 stan::model::index_multi(both_local),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6258 |                 stan::model::index_multi(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~
 6259 |                   stan::model::rvalue(zpatt_obsidx, "zpatt_obsidx",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6260 |                     stan::model::index_uni(q),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6261 |                     stan::model::index_min_max(1, noz)))),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6262 |               stan::math::multiply(
      |               ~~~~~~~~~~~~~~~~~~~~~
 6263 |                 stan::model::rvalue(Zp, "Zp", stan::model::index_uni(q),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6264 |                   stan::model::index_min_max(1, noz),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6265 |                   stan::model::index_min_max(1, noz)), zresid)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6266 |             "assigning variable gjv");
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::Product<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6254:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6254 |           stan::model::assign(gjv,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~
 6255 |             stan::math::multiply(
      |             ~~~~~~~~~~~~~~~~~~~~~
 6256 |               stan::model::rvalue(Sigma_yz, "Sigma_yz",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6257 |                 stan::model::index_multi(both_local),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6258 |                 stan::model::index_multi(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~
 6259 |                   stan::model::rvalue(zpatt_obsidx, "zpatt_obsidx",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6260 |                     stan::model::index_uni(q),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6261 |                     stan::model::index_min_max(1, noz)))),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6262 |               stan::math::multiply(
      |               ~~~~~~~~~~~~~~~~~~~~~
 6263 |                 stan::model::rvalue(Zp, "Zp", stan::model::index_uni(q),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6264 |                   stan::model::index_min_max(1, noz),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6265 |                   stan::model::index_min_max(1, noz)), zresid)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6266 |             "assigning variable gjv");
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4272:28:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4272 |         stan::model::assign(Vinv_11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~
 4273 |           stan::math::add(Sigma_zz_inv,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4272:28:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4272 |         stan::model::assign(Vinv_11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~
 4273 |           stan::math::add(Sigma_zz_inv,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  113 |     LhsNested m_lhs;
      |               ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4272:28:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4272 |         stan::model::assign(Vinv_11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~
 4273 |           stan::math::add(Sigma_zz_inv,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4272:28:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4272 |         stan::model::assign(Vinv_11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~
 4273 |           stan::math::add(Sigma_zz_inv,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  305 |   struct sub  { template<typename Dst, typename Src> EIGEN_DEVICE_FUNC void operator()(const Dst& dst, const Src& src) const { dst.const_cast_derived() -= src; } };
      |                                                                                                                                ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |         ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  192 |     internal::trmv_selector<(Mode & (UnitDiag|ZeroDiag)) | ((Mode & Lower) ? Upper : Lower),
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  193 |                             (int(internal::traits<Rhs>::Flags)&RowMajorBit) ? ColMajor : RowMajor>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |             ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |         ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~~~      
   40 |       .solve(Eigen::Matrix<T_return, Eigen::Dynamic, Eigen::Dynamic>(b)
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   41 |                  .transpose())
      |                  ~~~~~~~~~~~~~
   42 |       .transpose();
      |       ~~~~~~~~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~~~      
   40 |       .solve(Eigen::Matrix<T_return, Eigen::Dynamic, Eigen::Dynamic>(b)
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   41 |                  .transpose())
      |                  ~~~~~~~~~~~~~
   42 |       .transpose();
      |       ~~~~~~~~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  305 |   struct sub  { template<typename Dst, typename Src> EIGEN_DEVICE_FUNC void operator()(const Dst& dst, const Src& src) const { dst.const_cast_derived() -= src; } };
      |                                                                                                                                ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left.hpp:36:10:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   34 |   return Eigen::Matrix<return_type_t<T1, T2>, T1::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                        T1::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |       .lu()
      |       ~~~^~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; RhsT = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>]’
  469 |     call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func);
      |                                                     ~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4272:28:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4272 |         stan::model::assign(Vinv_11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~
 4273 |           stan::math::add(Sigma_zz_inv,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4272:28:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4272 |         stan::model::assign(Vinv_11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~
 4273 |           stan::math::add(Sigma_zz_inv,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:1001:72:   required from ‘auto stan::io::deserializer<T>::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value<double>; Sizes = {int}; stan::require_std_vector_t<U>* <anonymous> = 0; T = stan::math::var_value<double>; size_t = long unsigned int]’
 1001 |           this->read_constrain_corr_matrix<value_type_t<Ret>, Jacobian>(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1002 |               lp, sizes...));
      |               ~~~~~~~~~~~~~                                             
stanExports_stanmarg.h:18137:22:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
18135 |         in__.template read_constrain_corr_matrix<
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18136 |           std::vector<Eigen::Matrix<local_scalar_t__,-1,-1>>,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
18137 |           jacobian__>(lp__, Theta_r_mat_1_1dim__, Theta_r_mat_1_3dim__);
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  668 |     assignCoeff(row, col);
      |     ~~~~~~~~~~~^~~~~~~~~~
stanExports_stanmarg.h:5407:31:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = stan::math::var_value<double>; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19329:29:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19329 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
19330 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19331 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19332 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19333 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19334 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19335 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19336 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19337 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19338 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19339 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
19340 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19341 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  668 |     assignCoeff(row, col);
      |     ~~~~~~~~~~~^~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:447:26:   required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
  447 |     internal::assign_impl(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  448 |         x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |         name);
      |         ~~~~~             
stanExports_stanmarg.h:5398:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<double, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = double; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
 5398 |       stan::model::assign(out,
      |       ~~~~~~~~~~~~~~~~~~~^~~~~
 5399 |         stan::math::subtract(
      |         ~~~~~~~~~~~~~~~~~~~~~
 5400 |           stan::model::rvalue(Sigmainv, "Sigmainv",
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5401 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5402 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5403 |                 stan::model::index_min_max(1, Nobs))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5404 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5405 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5406 |                 stan::model::index_min_max(1, Nobs)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5409 |         stan::model::index_min_max(1, Nobs),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5410 |         stan::model::index_min_max(1, Nobs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21916:29:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21916 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
21917 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21918 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21919 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21920 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21921 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21922 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21923 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21924 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21925 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21926 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21927 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21928 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, index_multi>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, index_multi> >, 0> >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5147:30:   required from ‘std::vector<Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type, -1, -1> > model_stanmarg_namespace::estep(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, 1> >; T2__ = std::vector<Eigen::Matrix<double, -1, -1> >; T3__ = std::vector<int>; T4__ = std::vector<std::vector<int> >; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = std::vector<int>; T8__ = int; T9__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_col_vector<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<T2, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T2, void>::type>, stan::is_std_vector<T3, void>, std::is_integral<typename std::decay<typename stan::value_type<T3, void>::type>::type>, stan::is_std_vector<T4, void>, stan::is_std_vector<typename stan::value_type<T4__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T4__, void>::type, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, stan::is_std_vector<T7, void>, std::is_integral<typename std::decay<typename stan::value_type<T7__, void>::type>::type>, std::is_integral<typename std::decay<T8__>::type>, std::is_integral<typename std::decay<T9__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5147 |           stan::model::assign(ymis,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~
 5148 |             stan::math::add(
      |             ~~~~~~~~~~~~~~~~  
 5149 |               stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5150 |                 stan::model::index_multi(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~
 5151 |                   stan::model::rvalue(obsidx, "obsidx",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5152 |                     stan::model::index_min_max(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5153 |                       (stan::model::rvalue(Nobs, "Nobs",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5154 |                          stan::model::index_uni(mm)) + 1), p)))),
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5155 |               stan::math::multiply(stan::math::multiply(Sig12, S22inv),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5156 |                 stan::math::subtract(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5157 |                   stan::model::rvalue(YXstar, "YXstar",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5158 |                     stan::model::index_uni(jj),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5159 |                     stan::model::index_min_max(1,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5160 |                       stan::model::rvalue(Nobs, "Nobs",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5161 |                         stan::model::index_uni(mm)))),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5162 |                   stan::model::rvalue(Mu, "Mu",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5163 |                     stan::model::index_uni(grpidx),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5164 |                     stan::model::index_multi(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~
 5165 |                       stan::model::rvalue(obsidx, "obsidx",
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5166 |                         stan::model::index_min_max(1,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5167 |                           stan::model::rvalue(Nobs, "Nobs",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5168 |                             stan::model::index_uni(mm))))))))),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5169 |             "assigning variable ymis");
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23031:41:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23031 |                                    estep(YXstar, Mu_sat, Sigma_sat, Nobs,
      |                                    ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23032 |                                      Obsvar, startrow, endrow, grpnum, Np,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23033 |                                      Ng, pstream__),
      |                                      ~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::Product<stan::math::Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6254:30:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 6254 |           stan::model::assign(gjv,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~
 6255 |             stan::math::multiply(
      |             ~~~~~~~~~~~~~~~~~~~~~
 6256 |               stan::model::rvalue(Sigma_yz, "Sigma_yz",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6257 |                 stan::model::index_multi(both_local),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6258 |                 stan::model::index_multi(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~
 6259 |                   stan::model::rvalue(zpatt_obsidx, "zpatt_obsidx",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6260 |                     stan::model::index_uni(q),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~
 6261 |                     stan::model::index_min_max(1, noz)))),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6262 |               stan::math::multiply(
      |               ~~~~~~~~~~~~~~~~~~~~~
 6263 |                 stan::model::rvalue(Zp, "Zp", stan::model::index_uni(q),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6264 |                   stan::model::index_min_max(1, noz),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6265 |                   stan::model::index_min_max(1, noz)), zresid)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6266 |             "assigning variable gjv");
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4272:28:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4272 |         stan::model::assign(Vinv_11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~
 4273 |           stan::math::add(Sigma_zz_inv,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:62:   required from ‘stan::plain_type_t<T2> stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_not_eigen_col_vector_t<EigMat2>* <anonymous> = 0; stan::require_vt_same<T_U, T_CPCs>* <anonymous> = 0; stan::require_all_vt_arithmetic<EigMat1, EigMat2>* <anonymous> = 0; stan::plain_type_t<T2> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
   36 |                      (B_ref.transpose() * A_ref * B_ref).eval());
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_stanmarg.h:21383:42:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21383 |                 stan::math::quad_form_sym(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^
21384 |                   stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21385 |                   stan::math::transpose(
      |                   ~~~~~~~~~~~~~~~~~~~~~~  
21386 |                     stan::model::rvalue(Lambda_y_A, "Lambda_y_A",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21387 |                       stan::model::index_uni(g))))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:447:26:   required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
  447 |     internal::assign_impl(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  448 |         x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |         name);
      |         ~~~~~             
stanExports_stanmarg.h:5398:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<double, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = double; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
 5398 |       stan::model::assign(out,
      |       ~~~~~~~~~~~~~~~~~~~^~~~~
 5399 |         stan::math::subtract(
      |         ~~~~~~~~~~~~~~~~~~~~~
 5400 |           stan::model::rvalue(Sigmainv, "Sigmainv",
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5401 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5402 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5403 |                 stan::model::index_min_max(1, Nobs))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5404 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5405 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5406 |                 stan::model::index_min_max(1, Nobs)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5409 |         stan::model::index_min_max(1, Nobs),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5410 |         stan::model::index_min_max(1, Nobs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21916:29:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21916 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
21917 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21918 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21919 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21920 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21921 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21922 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21923 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21924 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21925 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21926 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21927 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21928 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:447:26:   required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
  447 |     internal::assign_impl(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  448 |         x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |         name);
      |         ~~~~~             
stanExports_stanmarg.h:5398:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<double, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = double; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
 5398 |       stan::model::assign(out,
      |       ~~~~~~~~~~~~~~~~~~~^~~~~
 5399 |         stan::math::subtract(
      |         ~~~~~~~~~~~~~~~~~~~~~
 5400 |           stan::model::rvalue(Sigmainv, "Sigmainv",
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5401 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5402 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5403 |                 stan::model::index_min_max(1, Nobs))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5404 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5405 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5406 |                 stan::model::index_min_max(1, Nobs)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5409 |         stan::model::index_min_max(1, Nobs),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5410 |         stan::model::index_min_max(1, Nobs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21916:29:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21916 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
21917 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21918 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21919 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21920 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21921 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21922 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21923 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21924 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21925 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21926 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21927 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21928 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4272:28:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4272 |         stan::model::assign(Vinv_11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~
 4273 |           stan::math::add(Sigma_zz_inv,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4272:28:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4272 |         stan::model::assign(Vinv_11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~
 4273 |           stan::math::add(Sigma_zz_inv,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4272:28:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4272 |         stan::model::assign(Vinv_11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~
 4273 |           stan::math::add(Sigma_zz_inv,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Functor = swap_assign_op<double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Func = swap_assign_op<double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>]’
  424 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1129:51:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 1129 |         else if(Side==OnTheRight)  dst.col(k).swap(dst.col(j));
      |                                    ~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_left_ldlt.hpp:37:24:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, EigMat::ColsAtCompileTime> stan::math::mdivide_left_ldlt(LDLT_factor<T>&, const EigMat&) [with T = Eigen::Matrix<double, -1, -1>; EigMat = Eigen::Matrix<double, -1, 1>; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_any_not_t<std::is_arithmetic<typename stan::value_type<T, void>::type>, stan::is_fvar<typename stan::value_type<S, void>::type, void> >* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   37 |   return A.ldlt().solve(
      |          ~~~~~~~~~~~~~~^
   38 |       Eigen::Matrix<return_type_t<T, EigMat>, EigMat::RowsAtCompileTime,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   39 |                     EigMat::ColsAtCompileTime>(b));
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:222:31:   required from ‘stan::return_type_t<T, L, U> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_loc = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::internal::SingleRange>, stan::model::index_multi>; T_covar = Holder<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, stan::model::index_multi, stan::model::index_multi>; stan::require_all_vector_vt<stan::is_stan_scalar, T_y, T_loc>* <anonymous> = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T, L, U> = double]’
  222 |       half = mdivide_left_ldlt(ldlt_Sigma, y_val_minus_mu_val);
      |              ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23898:61:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23898 |                         stan::math::multi_normal_lpdf<false>(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
23899 |                           stan::model::rvalue(YXstar, "YXstar",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23900 |                             stan::model::index_uni(jj),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~      
23901 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23902 |                               stan::model::rvalue(xdatidx, "xdatidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23903 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23904 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23905 |                                     stan::model::index_uni(mm)))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23906 |                           stan::model::rvalue(Mu, "Mu",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
23907 |                             stan::model::index_uni(grpidx),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
23908 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23909 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23910 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23911 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23912 |                                     stan::model::index_uni(mm)))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23913 |                           stan::model::rvalue(Sigma, "Sigma",
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23914 |                             stan::model::index_uni(grpidx),
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
23915 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23916 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23917 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23918 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23919 |                                     stan::model::index_uni(mm))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23920 |                             stan::model::index_multi(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~        
23921 |                               stan::model::rvalue(xidx, "xidx",
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23922 |                                 stan::model::index_min_max(1,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23923 |                                   stan::model::rvalue(Nx, "Nx",
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23924 |                                     stan::model::index_uni(mm))))))))),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:51:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
      |                                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6338:35:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6338 |           stan::math::mdivide_left(ibza,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
 6339 |             stan::math::multiply(Sbz,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 6340 |               stan::model::rvalue(p_j, "p_j", stan::model::index_uni(j)))),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4272:28:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4272 |         stan::model::assign(Vinv_11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~
 4273 |           stan::math::add(Sigma_zz_inv,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>; Functor = swap_assign_op<double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>; Func = swap_assign_op<double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>]’
  424 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 1032 |                   Block<Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime>(dst, k)
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1033 |             .swap(Block<Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime>
      |             ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1034 |                        (dst,((Side==OnTheLeft) ^ Transposed) ? k0 : kPrev));
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~~~      
   40 |       .solve(Eigen::Matrix<T_return, Eigen::Dynamic, Eigen::Dynamic>(b)
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   41 |                  .transpose())
      |                  ~~~~~~~~~~~~~
   42 |       .transpose();
      |       ~~~~~~~~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  668 |     assignCoeff(row, col);
      |     ~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:447:26:   required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const stan::math::Holder<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, index_multi, index_multi>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
  447 |     internal::assign_impl(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  448 |         x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |         name);
      |         ~~~~~             
stanExports_stanmarg.h:5398:26:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix<double, -1, -1>; T1__ = std::vector<int>; T2__ = int; T3__ = int; T4__ = double; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, std::is_integral<typename std::decay<CheckType>::type>, std::is_integral<typename std::decay<T3>::type>, stan::math::disjunction<stan::is_autodiff_scalar<T4__>, std::is_floating_point<typename std::decay<T4>::type> > >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, T4__>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
 5398 |       stan::model::assign(out,
      |       ~~~~~~~~~~~~~~~~~~~^~~~~
 5399 |         stan::math::subtract(
      |         ~~~~~~~~~~~~~~~~~~~~~
 5400 |           stan::model::rvalue(Sigmainv, "Sigmainv",
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5401 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5402 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5403 |                 stan::model::index_min_max(1, Nobs))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5404 |             stan::model::index_multi(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
 5405 |               stan::model::rvalue(obsidx, "obsidx",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5406 |                 stan::model::index_min_max(1, Nobs)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5407 |           stan::math::multiply(stan::math::transpose(A),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5408 |             stan::math::mdivide_left_spd(H, A))), "assigning variable out",
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5409 |         stan::model::index_min_max(1, Nobs),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5410 |         stan::model::index_min_max(1, Nobs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:21916:29:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21916 |               sig_inv_update(
      |               ~~~~~~~~~~~~~~^
21917 |                 stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21918 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21919 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21920 |                       stan::model::index_uni(patt)))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21921 |                 stan::model::rvalue(Obsvar, "Obsvar",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21922 |                   stan::model::index_uni(patt), stan::model::index_omni()),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21923 |                 stan::model::rvalue(Nobs, "Nobs",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21924 |                   stan::model::index_uni(patt)), (p + q),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21925 |                 stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp",
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21926 |                   stan::model::index_uni(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~
21927 |                     stan::model::rvalue(grpnum, "grpnum",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21928 |                       stan::model::index_uni(patt)))), pstream__),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |                                                     ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17:   required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix<double, -1, -1>; EigMat2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, -1> >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_vt_fvar<EigMat1, EigMat2>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
   36 |   return Eigen::Matrix<T_return, EigMat2::RowsAtCompileTime,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |                        EigMat2::ColsAtCompileTime>(A)
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |       .transpose()
      |       ~~~~~~~~~~~~
   39 |       .lu()
      |       ~~~~~      
   40 |       .solve(Eigen::Matrix<T_return, Eigen::Dynamic, Eigen::Dynamic>(b)
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   41 |                  .transpose())
      |                  ~~~~~~~~~~~~~
   42 |       .transpose();
      |       ~~~~~~~~~~^~
stanExports_stanmarg.h:21333:38:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
21333 |             stan::math::mdivide_right(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^
21334 |               stan::model::rvalue(Lambda_y, "Lambda_y",
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21335 |                 stan::model::index_uni(g)),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
21336 |               stan::math::subtract(I,
      |               ~~~~~~~~~~~~~~~~~~~~~~~ 
21337 |                 stan::model::rvalue(B, "B", stan::model::index_uni(g)))),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4272:28:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4272 |         stan::model::assign(Vinv_11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~
 4273 |           stan::math::add(Sigma_zz_inv,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:24:   required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, -1>&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_std_vector_t<T1, T2>* <anonymous> = 0; stan::math::require_all_not_tuple_t<T, U>* <anonymous> = 0]’
   65 |   internal::assign_impl(x, std::forward<U>(y), name);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:4272:28:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<Eigen::Matrix<double, -1, -1> >; T2__ = Eigen::Matrix<double, -1, -1>; T3__ = std::vector<Eigen::Matrix<double, -1, 1> >; T4__ = std::vector<int>; T5__ = std::vector<int>; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = Eigen::Matrix<double, -1, 1>; T10__ = Eigen::Matrix<double, -1, -1>; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = std::vector<int>; T14__ = std::vector<int>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, stan::is_eigen_matrix_dynamic<typename stan::value_type<S, void>::type>, stan::is_vt_not_complex<typename stan::value_type<S, void>::type>, stan::is_eigen_matrix_dynamic<T2__>, stan::is_vt_not_complex<T2__>, stan::is_std_vector<T3, void>, stan::is_col_vector<typename stan::value_type<T3, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T3, void>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, std::is_integral<typename std::decay<typename stan::value_type<T5__, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_col_vector<T9__>, stan::is_vt_not_complex<T9__>, stan::is_eigen_matrix_dynamic<T10__>, stan::is_vt_not_complex<T10__>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_std_vector<T13__, void>, std::is_integral<typename std::decay<typename stan::value_type<T13__, void>::type>::type>, stan::is_std_vector<T14__, void>, std::is_integral<typename std::decay<typename stan::value_type<T14__, void>::type>::type>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, std::is_integral<typename std::decay<T18__>::type>, std::is_integral<typename std::decay<T19__>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<Check, void>::type, typename stan::base_type<T2__, void>::type, typename stan::base_type<T3__, void>::type, typename stan::base_type<T9__, void>::type, typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<Check, void>::type = double; typename stan::base_type<T2__, void>::type = double; typename stan::base_type<T3__, void>::type = double; typename stan::base_type<T9__, void>::type = double; typename stan::return_type<typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 4272 |         stan::model::assign(Vinv_11,
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~
 4273 |           stan::math::add(Sigma_zz_inv,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4274 |             stan::math::multiply(static_cast<double>(nj),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4275 |               stan::math::multiply(stan::math::transpose(Sigma_yz_zi),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 4276 |                 Sigma_ji_yz_zi))), "assigning variable Vinv_11");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23493:35:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23493 |                   twolevel_logdens(
      |                   ~~~~~~~~~~~~~~~~^
23494 |                     stan::model::rvalue(mean_d_full, "mean_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23495 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23496 |                     stan::model::rvalue(cov_d_full, "cov_d_full",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23497 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23498 |                     stan::model::rvalue(S_PW, "S_PW",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23499 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23500 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23501 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23502 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23503 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23504 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23505 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23506 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23507 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23508 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23509 |                     stan::model::rvalue(nclus, "nclus",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23510 |                       stan::model::index_uni(grpidx),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23511 |                       stan::model::index_uni(2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23512 |                     stan::model::rvalue(intone, "intone",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23513 |                       stan::model::index_min_max(1,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23514 |                         stan::model::rvalue(nclus, "nclus",
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23515 |                           stan::model::index_uni(grpidx),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23516 |                           stan::model::index_uni(2)))),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23517 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23518 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23519 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23520 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23521 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23522 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23523 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23524 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23525 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23526 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6089:36:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6089 |               stan::math::quad_form(
      |               ~~~~~~~~~~~~~~~~~~~~~^
 6090 |                 stan::model::rvalue(Wp, "Wp", stan::model::index_uni(p),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6091 |                   stan::model::index_min_max(1, no),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6092 |                   stan::model::index_min_max(1, no)), resid));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
stanExports_stanmarg.h:6089:36:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6089 |               stan::math::quad_form(
      |               ~~~~~~~~~~~~~~~~~~~~~^
 6090 |                 stan::model::rvalue(Wp, "Wp", stan::model::index_uni(p),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6091 |                   stan::model::index_min_max(1, no),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6092 |                   stan::model::index_min_max(1, no)), resid));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
stanExports_stanmarg.h:6089:36:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6089 |               stan::math::quad_form(
      |               ~~~~~~~~~~~~~~~~~~~~~^
 6090 |                 stan::model::rvalue(Wp, "Wp", stan::model::index_uni(p),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6091 |                   stan::model::index_min_max(1, no),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6092 |                   stan::model::index_min_max(1, no)), resid));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_stanmarg.h:6089:36:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6089 |               stan::math::quad_form(
      |               ~~~~~~~~~~~~~~~~~~~~~^
 6090 |                 stan::model::rvalue(Wp, "Wp", stan::model::index_uni(p),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6091 |                   stan::model::index_min_max(1, no),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6092 |                   stan::model::index_min_max(1, no)), resid));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:855:9:   required from ‘void stan::model::assign(StdVec&&, U&&, const char*, index_uni) [with StdVec = std::vector<Eigen::Matrix<double, -1, -1> >&; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_t<std::is_assignable<typename stan::value_type<T>::type&, U> >* <anonymous> = 0]’
  855 |   assign(x[idx.n_ - 1], std::forward<U>(y), name);
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:5996:32:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<double, -1, 1>; T12__ = Eigen::Matrix<double, -1, -1>; T13__ = Eigen::Matrix<double, -1, 1>; T14__ = Eigen::Matrix<double, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = double; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = double; typename stan::base_type<T12__, void>::type = double; typename stan::base_type<T13__, void>::type = double; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = double; typename stan::base_type<T14__, void>::type = double; std::ostream = std::basic_ostream<char>]’
 5996 |             stan::model::assign(Sbz_q,
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~
 5997 |               stan::math::subtract(Sigma_b_bb,
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 5998 |                 stan::math::multiply(
      |                 ~~~~~~~~~~~~~~~~~~~~~
 5999 |                   stan::math::multiply(Syz_q,
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6000 |                     stan::model::rvalue(Zp, "Zp", stan::model::index_uni(qq),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6001 |                       stan::model::index_min_max(1, noz),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6002 |                       stan::model::index_min_max(1, noz))),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6003 |                   stan::math::transpose(Syz_q))), "assigning variable Sbz_q",
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6004 |               stan::model::index_uni(qq));
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:23459:43:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
23459 |                   twolevel_logdens_missing(
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^
23460 |                     stan::model::rvalue(YX, "YX",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23461 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23462 |                     stan::model::rvalue(cluster_size, "cluster_size",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23463 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23464 |                     stan::model::rvalue(row_ypatt, "row_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23465 |                       stan::model::index_min_max(r3, r4)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23466 |                     stan::model::rvalue(n_ypatt, "n_ypatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23467 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23468 |                     stan::model::rvalue(ypatt_nobs, "ypatt_nobs",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23469 |                       stan::model::index_min_max(yp1, yp2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23470 |                     stan::model::rvalue(ypatt_obsidx, "ypatt_obsidx",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23471 |                       stan::model::index_min_max(yp1, yp2),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23472 |                       stan::model::index_omni()),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
23473 |                     stan::model::rvalue(clus_zpatt, "clus_zpatt",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23474 |                       stan::model::index_min_max(r1, r2)), zp_n,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23475 |                     zpatt_nobs_g, zpatt_obsidx_g,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23476 |                     stan::model::rvalue(Zrow, "Zrow",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23477 |                       stan::model::index_min_max(r1, r2)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23478 |                     stan::model::rvalue(Mu, "Mu",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23479 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23480 |                     stan::model::rvalue(Sigma, "Sigma",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23481 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23482 |                     stan::model::rvalue(Mu_c, "Mu_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23483 |                       stan::model::index_uni(grpidx)),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23484 |                     stan::model::rvalue(Sigma_c, "Sigma_c",
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23485 |                       stan::model::index_uni(grpidx)), ov_idx1, ov_idx2,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23486 |                     within_idx, between_idx, both_idx, p_tilde, N_within,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23487 |                     N_between, N_both, pstream__),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:28873:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28873 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28874 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:23:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:26:75:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, stan::rng_t> ::constrain_pars)
      |                                                                           ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:6089:36:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6089 |               stan::math::quad_form(
      |               ~~~~~~~~~~~~~~~~~~~~~^
 6090 |                 stan::model::rvalue(Wp, "Wp", stan::model::index_uni(p),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6091 |                   stan::model::index_min_max(1, no),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6092 |                   stan::model::index_min_max(1, no)), resid));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
stanExports_stanmarg.h:6089:36:   required from ‘Eigen::Matrix<typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens_missing(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, const T22__&, const T23__&, std::ostream*) [with T0__ = std::vector<Eigen::Matrix<double, -1, 1> >; T1__ = std::vector<int>; T2__ = std::vector<int>; T3__ = int; T4__ = std::vector<int>; T5__ = std::vector<std::vector<int> >; T6__ = std::vector<int>; T7__ = int; T8__ = std::vector<int>; T9__ = std::vector<std::vector<int> >; T10__ = std::vector<Eigen::Matrix<double, -1, 1> >; T11__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T12__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T13__ = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; T14__ = Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>; T15__ = std::vector<int>; T16__ = std::vector<int>; T17__ = std::vector<int>; T18__ = std::vector<int>; T19__ = std::vector<int>; T20__ = int; T21__ = int; T22__ = int; T23__ = int; stan::require_all_t<stan::is_std_vector<T, void>, stan::is_col_vector<typename stan::value_type<T, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T, void>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<S, void>::type>::type>, stan::is_std_vector<T2, void>, std::is_integral<typename std::decay<typename stan::value_type<T2, void>::type>::type>, std::is_integral<typename std::decay<T3>::type>, stan::is_std_vector<T4, void>, std::is_integral<typename std::decay<typename stan::value_type<T4__, void>::type>::type>, stan::is_std_vector<T5, void>, stan::is_std_vector<typename stan::value_type<T5__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T5__, void>::type, void>::type>::type>, stan::is_std_vector<T6, void>, std::is_integral<typename std::decay<typename stan::value_type<T6__, void>::type>::type>, std::is_integral<typename std::decay<Op8>::type>, stan::is_std_vector<T8__, void>, std::is_integral<typename std::decay<typename stan::value_type<T8__, void>::type>::type>, stan::is_std_vector<T9__, void>, stan::is_std_vector<typename stan::value_type<T9__, void>::type, void>, std::is_integral<typename std::decay<typename stan::value_type<typename stan::value_type<T9__, void>::type, void>::type>::type>, stan::is_std_vector<T10__, void>, stan::is_col_vector<typename stan::value_type<T10__, void>::type>, stan::is_vt_not_complex<typename stan::value_type<T10__, void>::type>, stan::is_col_vector<T11__>, stan::is_vt_not_complex<T11__>, stan::is_eigen_matrix_dynamic<T12__>, stan::is_vt_not_complex<T12__>, stan::is_col_vector<T13__>, stan::is_vt_not_complex<T13__>, stan::is_eigen_matrix_dynamic<T14__>, stan::is_vt_not_complex<T14__>, stan::is_std_vector<T15__, void>, std::is_integral<typename std::decay<typename stan::value_type<T15__, void>::type>::type>, stan::is_std_vector<T16__, void>, std::is_integral<typename std::decay<typename stan::value_type<T16__, void>::type>::type>, stan::is_std_vector<T17__, void>, std::is_integral<typename std::decay<typename stan::value_type<T17__, void>::type>::type>, stan::is_std_vector<T18__, void>, std::is_integral<typename std::decay<typename stan::value_type<T18__, void>::type>::type>, stan::is_std_vector<T19__, void>, std::is_integral<typename std::decay<typename stan::value_type<T19__, void>::type>::type>, std::is_integral<typename std::decay<T20__>::type>, std::is_integral<typename std::decay<T21__>::type>, std::is_integral<typename std::decay<T22__>::type>, std::is_integral<typename std::decay<T23__>::type> >* <anonymous> = 0; typename stan::return_type<typename stan::base_type<T, void>::type, typename stan::base_type<T10__, void>::type, typename stan::base_type<T11__, void>::type, typename stan::base_type<T12__, void>::type, typename stan::base_type<T13__, void>::type, typename stan::return_type<typename stan::base_type<T14__, void>::type>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = double; typename stan::base_type<T10__, void>::type = double; typename stan::base_type<T11__, void>::type = stan::math::var_value<double>; typename stan::base_type<T12__, void>::type = stan::math::var_value<double>; typename stan::base_type<T13__, void>::type = stan::math::var_value<double>; typename stan::return_type<typename stan::base_type<T14__, void>::type>::type = stan::math::var_value<double>; typename stan::base_type<T14__, void>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
 6089 |               stan::math::quad_form(
      |               ~~~~~~~~~~~~~~~~~~~~~^
 6090 |                 stan::model::rvalue(Wp, "Wp", stan::model::index_uni(p),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6091 |                   stan::model::index_min_max(1, no),
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 6092 |                   stan::model::index_min_max(1, no)), resid));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.h:19530:56:   required from ‘stan::scalar_type_t<T2> model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_st_var<VecR>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
19530 |                                twolevel_logdens_missing(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^
19531 |                                  stan::model::rvalue(YX, "YX",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19532 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19533 |                                  stan::model::rvalue(cluster_size,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19534 |                                    "cluster_size",
      |                                    ~~~~~~~~~~~~~~~      
19535 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19536 |                                  stan::model::rvalue(row_ypatt, "row_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19537 |                                    stan::model::index_min_max(rr1, rr2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19538 |                                  stan::model::rvalue(n_ypatt, "n_ypatt",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19539 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19540 |                                  stan::model::rvalue(ypatt_nobs,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19541 |                                    "ypatt_nobs",
      |                                    ~~~~~~~~~~~~~        
19542 |                                    stan::model::index_min_max(yp1, yp2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19543 |                                  stan::model::rvalue(ypatt_obsidx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19544 |                                    "ypatt_obsidx",
      |                                    ~~~~~~~~~~~~~~~      
19545 |                                    stan::model::index_min_max(yp1, yp2),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19546 |                                    stan::model::index_omni()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~
19547 |                                  stan::model::rvalue(clus_zpatt,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19548 |                                    "clus_zpatt",
      |                                    ~~~~~~~~~~~~~        
19549 |                                    stan::model::index_min_max(r1, r2)), zp_n,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19550 |                                  zpatt_nobs_g, zpatt_obsidx_g,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19551 |                                  stan::model::rvalue(Zrow, "Zrow",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19552 |                                    stan::model::index_min_max(r1, r2)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19553 |                                  stan::model::rvalue(Mu, "Mu",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19554 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19555 |                                  stan::model::rvalue(Sigma, "Sigma",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19556 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19557 |                                  stan::model::rvalue(Mu_c, "Mu_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19558 |                                    stan::model::index_uni(grpidx)),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19559 |                                  stan::model::rvalue(Sigma_c, "Sigma_c",
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19560 |                                    stan::model::index_uni(grpidx)), ov_idx1,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19561 |                                  ov_idx2, within_idx, between_idx, both_idx,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19562 |                                  p_tilde, N_within, N_between, N_both,
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
19563 |                                  pstream__)));
      |                                  ~~~~~~~~~~             
stanExports_stanmarg.h:28884:47:   required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector<T_x2>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
28884 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream<char>]’
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |         ad_params_r, params_i, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                           
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:49:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_stanmarg.cc:23:74:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, stan::rng_t> ::grad_log_prob)
      |                                                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from ‘class Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/sum.hpp:33:18:   required from ‘stan::math::sum<arena_allocator<var_value<double> > >(const std::vector<var_value<double>, arena_allocator<var_value<double> > >&)::<lambda(auto:654&)> mutable [with auto:654 = stan::math::internal::callback_vari<double, stan::math::sum<arena_allocator<var_value<double> > >(const std::vector<var_value<double>, arena_allocator<var_value<double> > >&)::<lambda(auto:654&)> >]’
   33 |       arena_m.adj() += vi.adj();
      |       ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:43:   required from ‘void stan::math::internal::callback_vari<T, F>::chain() [with T = double; F = stan::math::sum<arena_allocator<var_value<double> > >(const std::vector<var_value<double>, arena_allocator<var_value<double> > >&)::<lambda(auto:654&)>]’
   21 |   inline void chain() final { rev_functor_(*this); }
      |                               ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:15:   required from here
   21 |   inline void chain() final { rev_functor_(*this); }
      |               ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/trace.hpp:29:60:   required from ‘stan::math::trace<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1> >(Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&&)::<lambda(const auto:863&)> mutable [with auto:863 = stan::math::internal::callback_vari<double, stan::math::trace<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1> >(Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&&)::<lambda(const auto:863&)> >]’
   29 |                              arena_m.adj().diagonal().array() += vi.adj();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:43:   required from ‘void stan::math::internal::callback_vari<T, F>::chain() [with T = double; F = stan::math::trace<Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1> >(Eigen::Matrix<var_value<double>, -1, -1, 0, -1, -1>&&)::<lambda(const auto:863&)>]’
   21 |   inline void chain() final { rev_functor_(*this); }
      |                               ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:15:   required from here
   21 |   inline void chain() final { rev_functor_(*this); }
      |               ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, 1, 1, 0, 1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, 1, 1, 0, 1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, 1, 1, 0, 1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, 1, 1, 0, 1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, 1, 1, 0, 1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, 1, 1, 0, 1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, 1, 1, 0, 1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, 1, 1, 0, 1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, 1, 1, 0, 1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, 1, 1, 0, 1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, 1, 1, 0, 1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, 1, 1, 0, 1, 1>, Eigen::Dense>’
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from ‘class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, 1, 1, 0, 1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, 1, 1, 0, 1, 1> >’
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:89:34:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   89 |     matrix_d adjC = impl_->C_.adj();
      |                     ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, 1>&>(Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, 1>&>(Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, 1>&>(Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, 1>&>(Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, 1>&>(Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>::<lambda(auto:62&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:85:27:   required from ‘stan::math::value_of<Eigen::Matrix<var_value<double>, -1, 1>&>(Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)> [with auto:61 = Eigen::Matrix<stan::math::var_value<double>, -1, 1>&]’
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2890:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
 2890 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:2906:12:   required from ‘struct std::__invoke_result<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, 1>&>(Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>&>’
 2906 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
/usr/include/c++/16/type_traits:3401:12:   required from ‘struct std::invoke_result<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, 1>&>(Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>&>’
 3401 |     struct invoke_result
      |            ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:138:71:   required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> > auto stan::math::make_holder(F&&, Args&& ...) [with F = stan::math::value_of<Eigen::Matrix<var_value<double>, -1, 1>&>(Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:61&&)>; Args = {Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t<typename std::invoke_result<F, Args&& ...>::type>* <anonymous> = <missing>]’
  138 |           require_plain_type_t<std::invoke_result_t<F, Args&&...>>* = nullptr>
      |                                                                       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:83:21:   required from ‘auto stan::math::value_of(EigMat&&) [with EigMat = Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_eigen_dense_base_t<EigMat>* <anonymous> = 0; stan::require_not_st_arithmetic<T>* <anonymous> = 0]’
   83 |   return make_holder(
      |          ~~~~~~~~~~~^
   84 |       [](auto&& a) {
      |       ~~~~~~~~~~~~~~ 
   85 |         return a.unaryExpr([](auto&& scal) { return value_of(scal); });
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |       },
      |       ~~             
   87 |       std::forward<EigMat>(M));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:64:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |                                                        ~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:17:   required from ‘void stan::math::internal::mdivide_left_spd_vv_vari<R1, C1, R2, C2>::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’
   67 |         -= adjB * alloc_->C_.transpose();
      |            ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:63:16:   required from here
   63 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1>, Eigen::Dense>’
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from ‘class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >’
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:89:34:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = -1]’
   89 |     matrix_d adjC = impl_->C_.adj();
      |                     ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, 4>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:63:19:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainA(Eigen::Matrix<stan::math::var_value<double>, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   63 |     A.adj() += Bd * adjC * Bd.transpose();
      |                ~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:77:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   77 |     chainA(A, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:63:26:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainA(Eigen::Matrix<stan::math::var_value<double>, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   63 |     A.adj() += Bd * adjC * Bd.transpose();
      |                ~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:77:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   77 |     chainA(A, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:40:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |                          ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, 4>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:24:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |                ~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:60:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |                                             ~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, 4>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:65:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |                                             ~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:43:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:43:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = -1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = -1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = -1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from ‘double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
   21 |     return 0.5 * z.p.dot(z.inv_e_metric_.cwiseProduct(z.p));
      |                  ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   required from here
   20 |   double T(diag_e_point& z) {
      |          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
stanExports_stanmarg.h: In instantiation of ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = Eigen::Matrix<double, -1, 1>; VecI = std::vector<int>; VecVar = Eigen::Matrix<double, -1, 1>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’:
stanExports_stanmarg.h:28793:21:   required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
28793 |     write_array_impl(base_rng, params_r, params_i, vars,
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
28794 |       emit_transformed_parameters, emit_generated_quantities, pstream);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_base_crtp.hpp:140:52:   required from ‘void stan::model::model_base_crtp<M>::write_array(stan::rng_t&, Eigen::VectorXd&, Eigen::VectorXd&, bool, bool, std::ostream*) const [with M = model_stanmarg_namespace::model_stanmarg; stan::rng_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::ostream = std::basic_ostream<char>]’
  140 |     return static_cast<const M*>(this)->write_array(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  141 |         rng, theta, vars, include_tparams, include_gqs, msgs);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_base_crtp.hpp:136:8:   required from here
  136 |   void write_array(stan::rng_t& rng, Eigen::VectorXd& theta,
      |        ^~~~~~~~~~~
stanExports_stanmarg.h:22883:13: warning: variable ‘rr1’ set but not used [-Wunused-but-set-variable=]
22883 |         int rr1 = std::numeric_limits<int>::min();
      |             ^~~
stanExports_stanmarg.h:22884:13: warning: variable ‘rr2’ set but not used [-Wunused-but-set-variable=]
22884 |         int rr2 = std::numeric_limits<int>::min();
      |             ^~~
stanExports_stanmarg.h:22886:13: warning: unused variable ‘clusidx’ [-Wunused-variable]
22886 |         int clusidx = std::numeric_limits<int>::min();
      |             ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                          ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:52:   required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   required from here
   21 |   double T(dense_e_point& z) {
      |          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:52:   required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   required from here
   21 |   double T(dense_e_point& z) {
      |          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from ‘double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
   21 |     return 0.5 * z.p.dot(z.inv_e_metric_.cwiseProduct(z.p));
      |                  ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   required from here
   20 |   double T(diag_e_point& z) {
      |          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:52:   required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   required from here
   21 |   double T(dense_e_point& z) {
      |          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:9:   required from ‘void stan::math::internal::mdivide_left_spd_vv_vari<R1, C1, R2, C2>::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’
   66 |     Eigen::Map<matrix_vi>(variRefA_, M_, M_).adj()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |         -= adjB * alloc_->C_.transpose();
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:63:16:   required from here
   63 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  345 |   typedef typename Product<Lhs,Rhs>::Scalar Scalar;
      |                                             ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:9:   required from ‘void stan::math::internal::mdivide_left_spd_vv_vari<R1, C1, R2, C2>::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’
   66 |     Eigen::Map<matrix_vi>(variRefA_, M_, M_).adj()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |         -= adjB * alloc_->C_.transpose();
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:63:16:   required from here
   63 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 4>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:654:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  654 | struct product_evaluator<Product<Lhs, Rhs, DefaultProduct>, LazyCoeffBasedProductMode, DenseShape, DenseShape>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:63:13:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainA(Eigen::Matrix<stan::math::var_value<double>, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   63 |     A.adj() += Bd * adjC * Bd.transpose();
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:77:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   77 |     chainA(A, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 4>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  402 |     call_assignment_no_alias(dst, lhs.lazyProduct(rhs), internal::assign_op<typename Dst::Scalar,Scalar>());
      |                                   ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:13:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 4>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:409:50:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  409 |     call_assignment_no_alias(dst, lhs.lazyProduct(rhs), internal::add_assign_op<typename Dst::Scalar,Scalar>());
      |                                   ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:13:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:9:   required from ‘void stan::math::internal::mdivide_left_spd_vv_vari<R1, C1, R2, C2>::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’
   66 |     Eigen::Map<matrix_vi>(variRefA_, M_, M_).adj()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |         -= adjB * alloc_->C_.transpose();
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:63:16:   required from here
   63 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:9:   required from ‘void stan::math::internal::mdivide_left_spd_vv_vari<R1, C1, R2, C2>::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’
   66 |     Eigen::Map<matrix_vi>(variRefA_, M_, M_).adj()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |         -= adjB * alloc_->C_.transpose();
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:63:16:   required from here
   63 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, -1, 0, -1, -1> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:13:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = -1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = -1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = -1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:13:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; CoeffReturnType = double; Eigen::Index = long int]’
  618 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  660 |     m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index));
      |                                                  ~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:13:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:13:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Rhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>; CoeffReturnType = double; Eigen::Index = long int]’
  618 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  660 |     m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index));
      |                                                  ~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:13:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:52:   required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   required from here
   21 |   double T(dense_e_point& z) {
      |          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:52:   required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   required from here
   21 |   double T(dense_e_point& z) {
      |          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:13:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:13:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:52:   required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   required from here
   21 |   double T(dense_e_point& z) {
      |          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:52:   required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   required from here
   21 |   double T(dense_e_point& z) {
      |          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:52:   required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   required from here
   21 |   double T(dense_e_point& z) {
      |          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:52:   required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   required from here
   21 |   double T(dense_e_point& z) {
      |          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:13:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  380 |       dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:13:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainB(Eigen::Matrix<stan::math::var_value<double>, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   69 |     B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC;
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:11:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chainAB(Eigen::Matrix<T, R, C>&, Eigen::Matrix<Tb, Rb, Cb>&, const Eigen::Matrix<double, R1, C1>&, const Eigen::Matrix<double, Rb, Cb>&, const Eigen::Matrix<double, Cb, Cb>&) [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   78 |     chainB(B, Ad, Bd, adjC);
      |     ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:5:   required from ‘void stan::math::internal::quad_form_vari<Ta, Ra, Ca, Tb, Rb, Cb>::chain() [with Ta = stan::math::var_value<double>; int Ra = -1; int Ca = -1; Tb = stan::math::var_value<double>; int Rb = -1; int Cb = 1]’
   91 |     chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_),
      |     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:16:   required from here
   88 |   virtual void chain() {
      |                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
stanExports_stanmarg.h: In constructor ‘model_stanmarg_namespace::model_stanmarg::model_stanmarg(stan::io::var_context&, unsigned int, std::ostream*)’:
stanExports_stanmarg.h:7531:3: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without
 7531 |   model_stanmarg(stan::io::var_context& context__, unsigned int
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double*’ to ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ declared here
   41 | void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
      |      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:341:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here
  105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-16 -std=gnu++17 -shared -L/home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib -Wl,-O1 -o blavaan.so RcppExports.o stanExports_stanmarg.o -L/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppParallel/lib/ -Wl,-rpath,/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppParallel/lib/ -ltbb -ltbbmalloc -L/home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib -lR
make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpSYywbW/R.INSTALL2a5ae343952592/blavaan/src'
make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpSYywbW/R.INSTALL2a5ae343952592/blavaan/src'
make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpSYywbW/R.INSTALL2a5ae343952592/blavaan/src'
installing to /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/00LOCK-blavaan/00new/blavaan/libs
** R
** inst
** byte-compile and prepare package for lazy loading
creating formal generic function 'summary' in package 'blavaan'
creating formal generic function 'coef' in package 'blavaan'
  using implicit definition in package 'stats'
creating formal generic function 'predict' in package 'blavaan'
  using implicit definition in package 'stats'
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (blavaan)